trigram

This is a table of type trigram and their frequencies. Use it to search & browse the list to learn more about your study carrel.

trigram	frequency
in patients with	279
methods and materials	239
as well as	221
the use of	213
in order to	169
to evaluate the	145
of patients with	120
the diagnosis of	117
the role of	117
the evaluation of	114
the purpose of	102
materials and methods	98
the presence of	98
fi ndings of	96
the development of	95
of this study	94
of online learning	92
one of the	84
the aim of	84
imaging fi ndings	84
in all cases	82
of the patients	78
the number of	78
to assess the	78
teaching and learning	76
study was to	76
in the diagnosis	74
the most common	73
evaluation of the	73
in the evaluation	71
the differential diagnosis	71
to describe the	71
according to the	70
due to the	70
in all patients	69
in terms of	68
e f a	67
d e f	67
was performed in	67
f a g	67
b d e	66
purpose of this	66
to illustrate the	64
this study was	62
a number of	61
to determine the	61
magnetic resonance imaging	60
based on the	59
can be used	59
be used to	58
of machine learning	57
there is a	57
the spectrum of	57
the results of	56
part of the	56
a variety of	56
in this study	55
the detection of	55
in online learning	54
aim of this	54
before and after	53
ct and mr	52
the effect of	51
differential diagnosis of	51
the assessment of	51
a total of	51
the value of	49
by means of	49
imaging features of	47
the importance of	47
the usefulness of	47
review of the	44
need to be	43
of the study	43
the degree of	43
the impact of	42
fi ndings in	42
of the brain	42
the level of	41
anatomy of the	41
such as the	41
it is important	40
that can be	40
was performed with	40
of the disease	39
there was no	39
assessment of the	39
the accuracy of	39
in medical education	39
the context of	38
and machine learning	38
there was a	38
well as the	38
to understand the	38
o o f	38
p r o	38
in addition to	38
r o o	38
learning in the	38
of the lesions	38
related to the	37
u r n	37
communities of practice	37
l p r	37
a pictorial review	37
n a l	37
a l p	37
with respect to	37
r n a	37
to review the	37
j o u	37
p r e	37
o u r	37
to demonstrate the	37
ct fi ndings	37
for the diagnosis	36
performed in patients	36
blood fl ow	36
the effects of	36
the field of	36
was used to	36
the online learning	36
role in the	36
all patients underwent	35
there is no	35
the need for	35
the concept of	35
this study is	35
compared to the	35
and in the	35
study is to	35
fi ndings and	35
in this exhibit	35
is the most	35
online learning in	35
the diagnosis and	35
imaging of the	34
to be a	34
was performed using	34
the fi rst	34
the treatment of	33
included in the	33
in the study	33
as part of	33
the present study	33
to compare the	33
imaging findings of	33
a range of	33
during the covid	33
the basis of	33
of the most	32
in the detection	32
the case of	32
of the students	32
is important to	32
the extent of	32
was found in	32
the performance of	31
we retrospectively reviewed	31
is based on	31
to provide a	31
a review of	31
with regard to	31
on the other	31
were compared with	31
ct and mri	31
to discuss the	30
in these patients	30
the potential to	30
between the two	30
there were no	30
images were obtained	30
the management of	30
based on a	30
in the context	30
was seen in	30
wide range of	29
the study was	29
the duration of	29
of the covid	29
in the future	29
benign and malignant	29
in higher education	29
in the field	29
wide spectrum of	29
on the basis	28
performed with a	28
the other hand	28
were performed on	28
the fact that	28
were included in	28
for patients with	28
and online learning	28
knowledge of the	28
understanding of the	28
in the assessment	28
and mr imaging	28
as a result	28
be aware of	28
in case of	28
the majority of	27
some of the	27
is an important	27
be able to	27
in the differential	27
uk learning objectives	27
a signifi cant	27
a combination of	27
exhibit is to	27
analysis of the	27
the incidence of	27
a series of	26
digital subtraction angiography	26
the implementation of	26
the imaging findings	26
an important role	26
the relationship between	26
the ability to	26
were performed in	26
in cases of	26
head and neck	26
to the covid	26
coronary artery disease	26
the effectiveness of	26
was found between	26
sensitivity and specificity	25
were performed with	25
the application of	25
is a useful	25
of these patients	25
important role in	25
is a rare	25
the quality of	25
to improve the	25
of social media	25
was observed in	25
most of the	25
of this exhibit	25
in of patients	25
patients with suspected	25
in relation to	25
the end of	24
patients treated with	24
because of the	24
to online learning	24
patients with a	24
radiological fi ndings	24
images of the	24
be used for	24
in the same	24
it has been	24
to investigate the	24
changes in the	24
study of the	24
been shown to	24
the process of	24
an overview of	24
use of the	24
machine learning applications	24
no signifi cant	24
in response to	24
and magnetic resonance	24
detector row ct	24
associated with the	24
signifi cant difference	23
with and without	23
examination of the	23
which can be	23
to identify the	23
in the online	23
a wide range	23
is important for	23
social media platforms	23
in one patient	23
mri in the	23
fi ndings were	23
located in the	23
the learning process	23
be familiar with	23
machine learning methods	23
was present in	23
of the lesion	23
lesions of the	23
used in the	23
of the course	23
in the early	23
the amount of	23
of the left	23
in of the	23
material and methods	23
was signifi cantly	23
tool in the	23
performed on a	23
at the same	23
the imaging fi	22
learning in medical	22
development of a	22
results of the	22
were used to	22
were found in	22
the study of	22
performed using a	22
the time of	22
examinations were performed	22
of the main	22
of the current	22
different types of	22
is able to	22
size of the	22
the current pandemic	22
no significant difference	22
to deal with	22
level of the	22
was performed on	22
the adoption of	21
than that of	21
of the lung	21
in of cases	21
for the evaluation	21
online learning and	21
statistically signifi cant	21
it can be	21
this exhibit is	21
teachers and students	21
learning is a	21
compared with the	21
of the tumor	21
in comparison to	21
and management of	21
aware of the	21
response to the	21
performed in all	21
we describe the	21
focused on the	21
the rate of	21
is useful in	21
the small bowel	21
the design of	21
morbidity and mortality	20
in an online	20
the imaging features	20
weighted mr imaging	20
a sense of	20
the integration of	20
in the last	20
online learning is	20
in the classroom	20
correlated with the	20
a systematic review	20
was detected in	20
it is a	20
of societal learning	20
aim of the	20
were correlated with	20
pictorial review of	20
the patients were	20
in the first	20
es learning objectives	20
a group of	20
evaluation of patients	20
the absence of	20
of the normal	20
in patients and	20
to present the	20
were obtained in	20
on how to	20
has been shown	20
men and women	20
in the management	20
the form of	19
to make the	19
for detection of	19
spectrum of imaging	19
the result of	19
is a new	19
may be used	19
with the use	19
the risk of	19
the spread of	19
overview of the	19
of the pulmonary	19
signifi cant correlation	19
in the uk	19
the potential of	19
learning has been	19
may be a	19
all of the	19
was used for	19
the last years	19
the possibility of	19
were compared to	19
duration of the	19
machine learning is	19
depending on the	19
in comparison with	19
male and female	19
of contrast medium	19
retrospectively reviewed the	19
illustrate the spectrum	19
correlation was found	19
enhancement of the	19
imaging in the	19
the lack of	19
purpose of the	19
the availability of	19
in cases and	19
of the right	19
to ensure that	19
results show that	19
were divided into	19
diameter of the	19
to be the	19
the university of	18
respect to the	18
in the learning	18
the distribution of	18
of ict in	18
thickening of the	18
significant difference in	18
visualization of the	18
were signifi cantly	18
familiar with the	18
that of the	18
was carried out	18
and how to	18
cerebral blood flow	18
the patients with	18
features of the	18
the age of	18
of magnetic resonance	18
the most important	18
of a new	18
the future of	18
location of the	18
of artificial intelligence	18
at the time	18
is essential to	18
of them were	18
all patients were	18
all the patients	18
behavioral intention to	18
an opportunity to	18
be due to	18
in federated learning	18
the difference between	18
we present a	18
prior to the	18
of these lesions	18
in which the	18
may not be	18
universal health coverage	18
it is not	18
of the abdomen	18
be used as	18
mri was performed	18
to develop a	18
the introduction of	18
of our study	18
findings of the	18
in the form	18
large number of	17
is a promising	17
correlation between the	17
patients with acute	17
that there is	17
and of the	17
mri of the	17
the outbreak of	17
and duration of	17
the correlation between	17
useful in the	17
a large number	17
to reduce the	17
are able to	17
seems to be	17
online learning as	17
could be used	17
value of the	17
deep learning for	17
the nature of	17
analysis was performed	17
all patients had	17
a wide spectrum	17
for the presence	17
images were acquired	17
artificial neural networks	17
extent of the	17
the influence of	17
this exhibit will	17
is a safe	17
maximum intensity projection	17
for the detection	17
beliefs and attitudes	17
mri fi ndings	17
in the remaining	17
mr imaging in	17
learning in a	17
of the heart	17
for evaluation of	16
useful for the	16
to predict the	16
and evaluation of	16
college of medicine	16
and after the	16
method for the	16
view of the	16
in the course	16
digital and online	16
after administration of	16
consecutive patients with	16
because of its	16
the correct diagnosis	16
be considered as	16
primary and secondary	16
the cause of	16
and should be	16
method in the	16
the efficacy of	16
ranged from to	16
found in patients	16
in the follow	16
the range of	16
that machine learning	16
and to evaluate	16
the same time	16
of breast cancer	16
in the literature	16
signifi cantly higher	16
intention to use	16
ct of the	16
to show the	16
the two groups	16
access to the	16
it is also	16
in rural areas	16
for the assessment	16
the patients had	16
in the treatment	16
proved to be	16
with emphasis on	16
is needed to	16
a machine learning	16
of medical education	16
the evolution of	16
time series classification	16
in the case	16
the anatomy of	16
patients who underwent	16
development of the	16
information about the	15
were retrospectively reviewed	15
out of the	15
difference between the	15
to analyze the	15
the lesions were	15
a period of	15
diagnostic accuracy of	15
was performed to	15
of the chest	15
observed in the	15
role of the	15
than in the	15
the image quality	15
diffi cult to	15
high spatial resolution	15
of the pandemic	15
of the virus	15
as a learning	15
the type of	15
modality of choice	15
were classifi ed	15
can also be	15
a case study	15
patients were examined	15
shown to be	15
seen in patients	15
there is an	15
a safe and	15
each of these	15
appearance of the	15
the ct findings	15
with or without	15
in one case	15
of coronary artery	15
diagnostic value of	15
the course of	15
of the upper	15
obtained from the	15
normal and abnormal	15
was noted in	15
in diagnosis of	15
machine learning models	15
of the ivc	15
on social media	15
as an alternative	15
learning is not	15
the beginning of	15
the mr imaging	15
in the brain	15
is to evaluate	15
at the level	15
contrast enhancement of	15
be used in	15
the fi ndings	15
the frequency of	15
ct coronary angiography	15
the benefits of	15
and learning in	15
the need to	15
machine learning techniques	14
basis of the	14
in recent years	14
the lumbar spine	14
by two radiologists	14
of the online	14
found to be	14
the opportunity to	14
to be an	14
as shown in	14
the learning environment	14
satisfaction with the	14
of deep learning	14
is an effective	14
showed that the	14
central nervous system	14
use of a	14
of the femoral	14
each of the	14
the results show	14
was to determine	14
of the cases	14
of the central	14
considered to be	14
have been used	14
scans were performed	14
can be achieved	14
and can be	14
the size of	14
for assessment of	14
wide variety of	14
graduate medical education	14
learning can be	14
t w images	14
positive effect on	14
in children with	14
mr imaging of	14
and to compare	14
the thoracic aorta	14
of the aorta	14
were evaluated by	14
the study group	14
was to assess	14
is characterized by	14
in our institution	14
has a positive	14
ct was performed	14
quality of the	14
imaging was performed	14
to engage in	14
to create a	14
the science of	14
to provide an	14
in distance learning	14
deep neural networks	14
will be discussed	14
were performed using	14
involved in the	14
learning during the	14
convolutional neural networks	14
and specificity of	14
the prevalence of	14
mm slice thickness	14
the knowledge of	14
a positive effect	14
the current situation	14
image quality was	14
is a very	14
total number of	14
multidetector row ct	14
with the course	14
will be presented	14
of emergency medicine	14
this is a	14
online learning environments	14
a function of	14
increase in the	14
ndings of the	14
are used to	14
to use m	14
on t w	14
of the different	14
could not be	14
to better understand	13
the severity of	13
was no significant	13
of imaging findings	13
in this article	13
were examined with	13
has to be	13
and distribution of	13
have the potential	13
was associated with	13
is used to	13
of the lower	13
followed by a	13
to visualize the	13
a wide variety	13
be useful in	13
may be useful	13
patients who had	13
positive predictive value	13
for teaching and	13
during the pandemic	13
jp learning objectives	13
used to assess	13
a community of	13
the area of	13
the detection and	13
were treated with	13
contribute to the	13
should be aware	13
rate of ml	13
a lot of	13
nature of the	13
on the use	13
and illustrate the	13
may also be	13
were studied with	13
smith et al	13
classifi ed as	13
with a high	13
purpose is to	13
has the potential	13
for students to	13
of the participants	13
were seen in	13
c b d	13
of the patient	13
is useful for	13
and staging of	13
that could be	13
of the learning	13
our experience in	13
of mri in	13
so as to	13
effi cacy of	13
should be considered	13
were observed in	13
natural language processing	13
differences between the	13
the first year	13
of soft tissue	13
years of age	13
less than mm	13
and presence of	13
is essential for	13
is one of	13
was to evaluate	13
used as a	13
to support the	13
change in the	13
the remaining patients	13
none of the	13
all of them	13
in pediatric patients	13
signifi cantly lower	13
of contrast material	13
the procedure was	13
diagnosis and follow	13
characteristics of the	13
it may be	13
turbo spin echo	13
of the clinical	13
diagnosis of the	13
the college of	13
the gold standard	13
determination of the	13
aspects of the	13
and differential diagnosis	13
machine learning systems	13
machine learning and	13
for the treatment	13
to be considered	13
course of the	13
in all the	13
of federated learning	13
of the total	13
in combination with	13
education in the	13
of the small	13
of the procedure	13
a result of	13
signal intensity on	13
of choice for	13
found between the	13
do not have	13
various types of	13
end of the	13
of the superior	13
been used to	13
to the use	13
males and females	12
the radiologist to	12
relation to the	12
learning as a	12
are the most	12
were obtained from	12
of the use	12
the technique of	12
online learning for	12
was able to	12
a guide to	12
attention to the	12
with pathologic correlation	12
t and t	12
lower than that	12
and correlated with	12
in the following	12
abnormalities of the	12
to study the	12
negative predictive value	12
axial and coronal	12
these fi ndings	12
for online learning	12
in this paper	12
structure of the	12
and patients with	12
mm in diameter	12
that may be	12
learning and teaching	12
the onset of	12
placed in the	12
at the end	12
group of patients	12
safe and effective	12
of the breast	12
a rate of	12
in some cases	12
the heart and	12
the gastrointestinal tract	12
a set of	12
to be able	12
students in the	12
to facilitate the	12
has not been	12
in patients who	12
in our series	12
our study was	12
the internet and	12
the causes of	12
to outline the	12
for the development	12
be associated with	12
significant difference between	12
in this section	12
and it is	12
a lack of	12
of the world	12
the location of	12
is necessary to	12
and to assess	12
of the stomach	12
over the last	12
a deep learning	12
the diagnostic accuracy	12
impact of the	12
at least one	12
to be familiar	12
to increase the	12
were used for	12
was evaluated by	12
in our study	12
at a rate	12
during the last	12
lead to a	12
around the world	12
this pictorial review	12
the advantages of	12
multislice computed tomography	12
was based on	12
as a way	12
it does not	12
the experience of	12
the findings of	12
accuracy of the	12
were located in	12
to make a	12
the site of	12
of the programme	12
machine learning algorithms	12
of distance learning	12
in two cases	12
signifi cant differences	12
of the ct	12
the method of	12
the volume of	12
this is not	12
of the literature	12
accurate diagnosis of	12
regions of interest	12
acute and chronic	12
ct is a	12
a way to	12
that have been	12
image quality of	12
were associated with	12
relationship between the	12
of small bowel	12
in this case	12
world health organization	12
of the arts	11
of the two	11
in two patients	11
and extent of	11
an increase in	11
a method for	11
of the lumbar	11
the choice of	11
were evaluated with	11
can be a	11
is a valuable	11
in the absence	11
can lead to	11
to the current	11
with the same	11
the uk and	11
to present a	11
the interpretation of	11
as compared to	11
community of inquiry	11
management of the	11
our experience with	11
in line with	11
fi ndings are	11
in both groups	11
ministry of education	11
of this technique	11
evaluate the usefulness	11
the most commonly	11
and accuracy of	11
found in the	11
the machine learning	11
an accurate diagnosis	11
radiological appearances of	11
is to provide	11
technique in the	11
is not a	11
mr fi ndings	11
all patients with	11
successful implementation of	11
needs to be	11
by using a	11
of the imaging	11
be applied to	11
the utility of	11
in the united	11
to explore the	11
the needs of	11
electronic health records	11
uk and roi	11
aim of our	11
to learn the	11
should not be	11
of normal and	11
were reviewed by	11
have to be	11
a learning system	11
mean age of	11
ct scans were	11
intravenous injection of	11
series of patients	11
be attributed to	11
has been used	11
results were compared	11
a new method	11
was the most	11
in this context	11
familiarity with the	11
depends on the	11
due to its	11
that online learning	11
results suggest that	11
was found to	11
in the social	11
play an important	11
advantages and disadvantages	11
point of view	11
inferior vena cava	11
learning is the	11
which may be	11
was performed by	11
in the presence	11
use of technology	11
magnetic resonance angiography	11
in the current	11
the model is	11
community of practice	11
is associated with	11
a learning community	11
based on their	11
in the patients	11
a microscopy coil	11
the most frequent	11
in a single	11
the sensitivity of	11
the presence and	11
diagnosis and management	11
of the three	11
integration of ict	11
were obtained with	11
towards the use	11
to enhance the	11
patients who have	11
techniques such as	11
the imaging of	11
is also a	11
ease of use	11
the delivery of	11
early stages of	11
method and materials	11
between january and	11
of the internal	11
performed in a	11
patients with known	11
anomalous pulmonary venous	11
image quality in	11
studies were performed	11
the start of	11
identifi cation of	11
technology acceptance model	11
in pharmaceutical sciences	11
may result in	11
in the second	11
were identifi ed	11
intravenous administration of	11
is a key	11
what are the	11
image quality and	11
were examined by	11
attributed to the	11
with those of	11
serve as a	11
be useful for	11
early diagnosis of	11
color doppler us	11
more than one	11
it is possible	11
as a new	11
deep convolutional neural	11
and location of	11
of social distancing	11
in the left	11
in determining the	11
the ratio of	11
area under the	11
of the data	11
for diagnosis of	11
online learning has	11
is very important	11
focus on the	11
with peers and	11
to that of	11
online learning during	11
to defi ne	11
distance learning in	10
the students were	10
of the thoracic	10
of the same	10
a single breath	10
there are a	10
these patients had	10
in group a	10
of each of	10
the diagnostic value	10
during the first	10
of the following	10
step by step	10
convolutional neural network	10
can be found	10
plays an important	10
was achieved in	10
are associated with	10
the examinations were	10
after the procedure	10
receiver operating characteristic	10
online learning environment	10
row ct scanner	10
blinded to the	10
the images were	10
of the spleen	10
histological fi ndings	10
in group b	10
wall of the	10
machine learning in	10
emergency medicine residency	10
we used a	10
artificial neural network	10
and image quality	10
of the skull	10
at the university	10
at our institution	10
to the clinical	10
signifi cance of	10
the complexity of	10
we need to	10
congenital and acquired	10
on the same	10
rome it purpose	10
was used as	10
we reviewed the	10
images were reconstructed	10
clinical and radiological	10
the possibilities of	10
ai and machine	10
may lead to	10
the ascending aorta	10
the inguinal canal	10
the visualization of	10
mean age years	10
of technology in	10
their children to	10
bone marrow edema	10
the feasibility of	10
the acquisition of	10
of this paper	10
it possible to	10
and discuss the	10
it difficult to	10
to explain the	10
artificial intelligence in	10
the early years	10
infl uence of	10
deal with the	10
did not show	10
the education of	10
to obtain a	10
in conjunction with	10
typical and atypical	10
enhancement in the	10
recent advances in	10
be included in	10
of the spine	10
hyperintense on t	10
is possible to	10
were classified as	10
the work of	10
classifi ed into	10
in a large	10
the state of	10
gr learning objectives	10
at the beginning	10
in cases the	10
to know the	10
components of the	10
computed tomography and	10
of all the	10
a change in	10
stenosis of the	10
anomalies of the	10
be a useful	10
state of the	10
to establish the	10
the success of	10
this can be	10
approach to the	10
and deep learning	10
to be used	10
structures of the	10
on t wi	10
vr tool is	10
the position of	10
they can be	10
and the results	10
plain fi lms	10
it is imperative	10
more and more	10
the specifi c	10
one or more	10
higher education institutions	10
abdomen and pelvis	10
part of a	10
we will describe	10
in the right	10
diagnosis and treatment	10
to manage the	10
studying psychology online	10
acute respiratory syndrome	10
distribution of the	10
the fi nal	10
on ct and	10
mr imaging is	10
conventional machine learning	10
and use of	10
the combination of	10
low signal intensity	10
patients were included	10
is a non	10
seen in the	10
of learning in	10
of research in	10
the prediction of	10
clinical and imaging	10
reviewed the imaging	10
of the colon	10
has led to	10
performance of the	10
slice spiral ct	10
of the first	10
was measured by	10
of the outbreak	10
did not have	10
ai can be	10
to examine the	10
to use the	10
clinical suspicion of	10
differences in the	10
study found that	10
out of patients	10
severe acute respiratory	10
and soft tissue	10
from to years	10
method of choice	10
the tumor was	10
and development of	9
has been a	9
and for the	9
in published maps	9
jurisdictional claims in	9
with ml of	9
of these cases	9
regardless of the	9
of this entity	9
and is a	9
to identify and	9
to have a	9
atrial fi brillation	9
the urinary tract	9
were considered as	9
may be the	9
this is the	9
we present the	9
congenital heart disease	9
with each other	9
management of these	9
which is a	9
of online teaching	9
can be applied	9
the removal rate	9
the advent of	9
relevant to the	9
to the development	9
science of learning	9
ct findings of	9
claims in published	9
a retrospective review	9
and social media	9
the radiological appearances	9
across the globe	9
in our department	9
the technology acceptance	9
infl ammatory bowel	9
students who are	9
have shown that	9
the practice of	9
were analyzed using	9
aspect of the	9
cantly lower than	9
children and adolescents	9
there are no	9
mri is a	9
associated with a	9
which is the	9
of information and	9
of patients who	9
diffusion tensor imaging	9
case of the	9
using machine learning	9
according to their	9
and volume rendering	9
obtained in the	9
of the diagnosis	9
with the results	9
which could be	9
was significantly higher	9
the basal ganglia	9
parts of the	9
it is the	9
schools in the	9
ct images were	9
were asked to	9
in patients undergoing	9
and mri in	9
is likely to	9
important for the	9
area of the	9
masses of the	9
and in cases	9
from the same	9
in a digital	9
of the global	9
in the covid	9
used as the	9
the goal of	9
takes place in	9
many of these	9
the problem of	9
to participate in	9
of the model	9
the social media	9
in the past	9
the relationships between	9
the skull base	9
study was performed	9
imaging modality in	9
and lack of	9
findings of patients	9
this is an	9
patients with renal	9
in accordance with	9
the creation of	9
of which were	9
and students to	9
internal carotid artery	9
cant correlation between	9
learning may be	9
of teaching and	9
proposed as a	9
position of the	9
in subjects with	9
to determine whether	9
of the inner	9
conflict of interest	9
in this area	9
diffusion weighted imaging	9
of the radiologist	9
number of cases	9
the wide spectrum	9
was defined as	9
of the pelvis	9
patients were divided	9
and may be	9
that affect the	9
students of the	9
machine learning technologies	9
were present in	9
were as follows	9
the effi cacy	9
after cardiac surgery	9
the ct and	9
appears to be	9
neutral with regard	9
was a signifi	9
can be difficult	9
of the graft	9
there were patients	9
difference in the	9
the outcome of	9
using deep learning	9
is not only	9
proton mr spectroscopy	9
and institutional affiliations	9
the determination of	9
in social media	9
information and communication	9
social and machine	9
but also to	9
is crucial for	9
optimal reconstruction phase	9
to the pandemic	9
it should be	9
many of the	9
springer nature remains	9
the arts in	9
at qassim university	9
remains neutral with	9
of mr imaging	9
children to use	9
to jurisdictional claims	9
nature remains neutral	9
were able to	9
students and staff	9
note springer nature	9
and communication technology	9
in clinical practice	9
show that the	9
be helpful for	9
right and left	9
use of social	9
langerhans cell histiocytosis	9
patients had a	9
for the future	9
in the development	9
of the knee	9
ct images of	9
tomography and magnetic	9
in the upper	9
images were evaluated	9
deep learning and	9
published maps and	9
may be helpful	9
used for the	9
interest in the	9
review of research	9
the normal anatomy	9
likely to be	9
it comes to	9
smaller than mm	9
and that of	9
and mri fi	9
in the digital	9
that should be	9
and effectiveness of	9
fr learning objectives	9
of an outbreak	9
maps and institutional	9
intensity on t	9
patients were followed	9
statistical analysis was	9
is to describe	9
is the first	9
study was conducted	9
of medicine at	9
than those of	9
and the presence	9
adoption of online	9
a need for	9
that it is	9
detection of the	9
retrospective review of	9
the final diagnosis	9
to clarify the	9
extension of the	9
will be illustrated	9
and in of	9
regard to jurisdictional	9
and radiologic features	9
be diffi cult	9
a useful tool	9
it will be	9
when it comes	9
it is therefore	9
in of them	9
of the present	9
mmol kg gd	9
up of patients	9
the department of	9
of the aneurysm	9
an average of	9
mr imaging findings	9
involvement of the	8
to focus on	8
half of the	8
of imaging in	8
how to use	8
of coronary arteries	8
on chest ct	8
is a well	8
with a variety	8
the novel coronavirus	8
to be more	8
and characterization of	8
group consisted of	8
ct angiography of	8
found that the	8
the students and	8
a spectrum of	8
time series data	8
cerebral blood volume	8
bone marrow transplantation	8
and opportunities for	8
in our experience	8
medicine at qassim	8
the current covid	8
the results were	8
the international review	8
or multiple times	8
statistically significant difference	8
beginning of the	8
plain fi lm	8
the number and	8
as the most	8
studies have shown	8
patients presenting with	8
and the second	8
compared with other	8
into two groups	8
larger than mm	8
a digital age	8
it would be	8
the central nervous	8
seem to be	8
the heart rate	8
and the development	8
broad range of	8
included in our	8
large amount of	8
specifi c diagnosis	8
evaluation of a	8
in contrast to	8
of the best	8
online learning experiences	8
the benefit of	8
become familiar with	8
perceived ease of	8
the current state	8
implementation of online	8
the united kingdom	8
patients with primary	8
and disadvantages of	8
in distance education	8
is an uncommon	8
the design and	8
but there is	8
machine learning has	8
and color doppler	8
when compared to	8
an analysis of	8
scientists and experts	8
of their own	8
republic of ireland	8
machine learning model	8
the liver and	8
was determined by	8
as opposed to	8
middle cerebral artery	8
the group of	8
is not the	8
virtual learning environments	8
period of time	8
majority of the	8
the help of	8
weighted fast spin	8
in the age	8
in the central	8
the world health	8
learning to be	8
resolution computed tomography	8
this educational exhibit	8
clinical presentation and	8
engagement in the	8
and to identify	8
radiologic findings of	8
there are many	8
of novel coronavirus	8
of the urinary	8
learning and the	8
those who have	8
a subset of	8
and so on	8
stages of the	8
and on the	8
to note that	8
as one of	8
evaluate the diagnostic	8
in detection of	8
to use mobile	8
the ability of	8
images in the	8
the brain and	8
present in patients	8
the chinese parents	8
changes of the	8
rest of the	8
usual and unusual	8
learning management system	8
to perform a	8
was obtained from	8
describe the imaging	8
thessaloniki gr purpose	8
present the imaging	8
fi ndings with	8
detection of covid	8
the infl uence	8
a significant difference	8
and t weighted	8
values in the	8
ict in education	8
included in this	8
between benign and	8
the training of	8
as a reference	8
online teaching and	8
slice thickness of	8
differences were found	8
squamous cell carcinoma	8
so that the	8
has been developed	8
it could be	8
were less than	8
in these cases	8
of consecutive patients	8
detection of colorectal	8
arterial and venous	8
of the gastrointestinal	8
mr images of	8
of big data	8
easy to use	8
are essential for	8
is to illustrate	8
learning takes place	8
under the roc	8
is a relatively	8
can be seen	8
in each group	8
scan was performed	8
it is necessary	8
the differences between	8
in more than	8
the total number	8
emerged as a	8
the early stage	8
and cases of	8
injection of contrast	8
was made by	8
but it is	8
lesions in the	8
fi brous dysplasia	8
diagnosis and staging	8
or three times	8
radiologic features of	8
the advantage of	8
of the coronary	8
in the acute	8
during the online	8
the vr tool	8
attitude towards the	8
days after the	8
withdrawn by authors	8
described in the	8
the femoral head	8
of the cervical	8
social presence in	8
diseases of the	8
staff and students	8
a consequence of	8
of learning and	8
and attitudes around	8
fi ndings on	8
of specifi c	8
early detection of	8
learning through bargaining	8
to establish a	8
and limitations of	8
of a learning	8
a framework for	8
ct scans of	8
of the portal	8
is expected to	8
order to evaluate	8
cm in diameter	8
of contrast enhancement	8
ct in the	8
twice or three	8
of a community	8
of lung cancer	8
dose to the	8
an understanding of	8
international review of	8
of social and	8
this kind of	8
a prospective study	8
a literature review	8
in cases with	8
will be shown	8
deep transfer learning	8
chronic renal failure	8
to machine learning	8
and the other	8
corresponding to the	8
it is expected	8
formal and informal	8
was demonstrated in	8
of rectal cancer	8
into three groups	8
be found in	8
dunlop and radaelli	8
and ct images	8
the first time	8
the head and	8
an alternative to	8
as a practicing	8
of these conditions	8
correlated well with	8
and that the	8
tool for the	8
carcinoma of the	8
in early childhood	8
the completion of	8
performed with the	8
mg i ml	8
the most appropriate	8
a sensitivity of	8
spread of the	8
that there are	8
the radiologist should	8
in differential diagnosis	8
and specifi city	8
the sensitivity and	8
athens gr purpose	8
to some extent	8
of the educational	8
can contribute to	8
the roc curve	8
was conducted in	8
provided by the	8
for those who	8
using the following	8
to the diagnosis	8
to ensure the	8
evaluate the role	8
federated learning for	8
onset of symptoms	8
of the various	8
machine learning to	8
in the area	8
the current crisis	8
in each patient	8
as a function	8
this study found	8
has been described	8
quantifi cation of	8
experiences of online	8
led to a	8
a case of	8
the upper abdomen	8
can be obtained	8
importance of the	8
tools for the	8
cation of the	8
of the assessment	8
and at the	8
sonographic fi ndings	8
in the normal	8
the capability of	8
to be addressed	8
not only to	8
london uk learning	8
for evaluating the	8
especially in the	8
be achieved by	8
a survey of	8
patients referred for	8
be seen in	8
disease of the	8
helpful in the	8
emphasis on the	8
complications such as	8
detection and staging	8
from patients with	8
in the basal	8
to allow their	8
were obtained using	8
describe and illustrate	8
based learning in	8
of the parotid	8
to the students	8
suggest that the	8
weighted images and	8
of the method	8
selection of the	8
imaging characteristics of	8
appearances of the	8
medical schools in	8
the flipped classroom	8
the characteristic imaging	8
is a common	8
were referred to	8
mr imaging with	8
once or twice	8
differential diagnosis with	8
visual learning analytics	8
of coronavirus disease	8
and mr images	8
of the extent	8
be considered in	8
is related to	8
for each patient	8
adjacent to the	8
the setting of	8
for diagnosis and	8
percent of universities	8
make sense of	8
with a mean	8
to engage with	8
would like to	8
of them had	8
arterial infusion chemotherapy	8
the council of	8
due to their	8
be helpful in	8
we evaluated the	8
a specifi c	8
to differentiate between	8
for medical education	8
for the purpose	8
research in open	8
cross sectional imaging	8
during a pandemic	8
regulated learning in	8
the optimal reconstruction	8
the acceptance of	8
of ultrasound contrast	8
the rest of	8
modality in the	8
are used in	8
open online courses	8
not have a	8
observed in patients	8
or twice or	8
to enhance learning	8
high signal intensity	8
arising from the	8
in our hospital	8
in the emergency	8
support vector machine	8
in patients of	8
of the major	8
in this review	8
the appearance of	8
in education and	8
in a variety	8
in size of	8
the world bank	8
the emergence of	8
in the clinical	8
activity of the	8
apparent diffusion coeffi	8
can be easily	8
other types of	8
and blended learning	8
diagnosis in the	8
apparent diffusion coefficient	8
integrated into the	8
of policy learning	8
is to review	8
well as a	8
in the non	8
spatial resolution in	8
those in the	8
in this group	8
we discuss the	8
of this work	7
classifi cation of	7
massive open online	7
of communities of	7
allow their children	7
impact on the	7
detected in the	7
has been reported	7
without the need	7
applied to the	7
the learning objectives	7
va flow volume	7
patients did not	7
with magnetic resonance	7
observed in cases	7
long axis of	7
was obtained by	7
technology in the	7
be considered when	7
of the whole	7
the cases of	7
broad spectrum of	7
center of the	7
with breast cancer	7
diagnostic accuracy in	7
supported by the	7
is difficult to	7
response to therapy	7
neurons in the	7
a retrospective study	7
models for the	7
even in the	7
is the imaging	7
defined as a	7
for this study	7
magnetic resonance spectroscopy	7
the questionnaire was	7
present study was	7
the thoracic and	7
patients with different	7
reviewed by two	7
of the social	7
all lesions were	7
of the uterine	7
to interact with	7
t weighted images	7
the mechanisms of	7
spectrum of findings	7
interpretative phenomenological analysis	7
of imaging fi	7
to become familiar	7
the united states	7
the limitations of	7
in evaluation of	7
the students to	7
immersive virtual reality	7
research and development	7
health care providers	7
an online learning	7
a role in	7
of digital and	7
the significance of	7
enhanced mr angiography	7
other imaging modalities	7
were detected in	7
part of their	7
should be made	7
to display the	7
to describe and	7
data were collected	7
in machine learning	7
there has been	7
ml g min	7
due to a	7
evaluated by the	7
of the art	7
were found between	7
positron emission tomography	7
the difference in	7
student engagement in	7
with high resolution	7
of the technology	7
imaging features and	7
at the start	7
regard to the	7
use mobile learning	7
sense of community	7
the policy process	7
and clinical data	7
to depict the	7
may be seen	7
a valuable tool	7
of lesions in	7
mr examinations were	7
was in the	7
outcomes of the	7
as the first	7
that we have	7
can be considered	7
the early stages	7
of the bowel	7
seen in cases	7
their differential diagnosis	7
most of them	7
help in the	7
during the early	7
to find out	7
in this way	7
and differential diagnoses	7
could be a	7
perceived social influence	7
the response to	7
be explained by	7
was to compare	7
ml of contrast	7
a method of	7
to correlate the	7
to address the	7
is required to	7
to design and	7
to emphasize the	7
and the cad	7
public health interventions	7
of more than	7
were no significant	7
on the topic	7
to do so	7
to develop an	7
as in the	7
no correlation was	7
diagnostic tool for	7
of the carotid	7
the examination of	7
is a powerful	7
satisfied with the	7
most common cause	7
this paper is	7
left and right	7
the kinds of	7
was performed for	7
ways in which	7
t w and	7
a significant reduction	7
describe the ct	7
of active learning	7
in the lower	7
in the cases	7
row ct angiography	7
significant correlation between	7
wong et al	7
t mr scanner	7
was better than	7
areas of the	7
specific contrast agents	7
on a series	7
can be useful	7
based on this	7
together with the	7
scans of patients	7
and imaging fi	7
information to the	7
labeled and unlabeled	7
we review the	7
performed in the	7
through machine learning	7
in all of	7
the live streaming	7
the establishment of	7
no evidence of	7
social and economic	7
found in cases	7
this may be	7
online learning experience	7
online learning to	7
of virtual reality	7
presence of a	7
the vertebral body	7
direct effect on	7
corresponds to the	7
in the next	7
the modality of	7
this prospective study	7
values of the	7
the grade of	7
will review the	7
the topic of	7
pulmonary venous return	7
for learning and	7
opportunity to develop	7
mean transit time	7
the definition of	7
we performed a	7
lymph node metastasis	7
of a wide	7
that need to	7
the origin of	7
there are several	7
there is much	7
to the most	7
it to the	7
were blinded to	7
obtained in all	7
between ct and	7
the parotid gland	7
in patients were	7
act as a	7
of primary and	7
in developing countries	7
the hidden layer	7
has a high	7
the tumors were	7
budapest hu purpose	7
those of the	7
three types of	7
treatment of the	7
the power of	7
presence or absence	7
using color duplex	7
in the virtual	7
medical education in	7
or absence of	7
systematic review of	7
a new approach	7
amount of data	7
purpose of our	7
is not to	7
the first and	7
renal cell carcinoma	7
in the control	7
in the pre	7
and distance learning	7
a part of	7
consisted of patients	7
is essential in	7
of an online	7
considered as a	7
give rise to	7
order to obtain	7
be the most	7
shown in the	7
the prototype tool	7
degree to which	7
no significant differences	7
never did so	7
is supported by	7
not only the	7
learning and assessment	7
take advantage of	7
of the renal	7
presence in online	7
discussion of the	7
over a period	7
this work was	7
when there is	7
in a number	7
findings in the	7
from chest x	7
of uterine leiomyomas	7
ensure that the	7
pathologic fi ndings	7
of choice in	7
in the process	7
we aim to	7
and treatment of	7
only once or	7
to develop and	7
images and videos	7
axis of the	7
members of the	7
of the information	7
spread of covid	7
and in patients	7
as an example	7
have also been	7
performed by means	7
present in cases	7
in patients treated	7
defi ned as	7
lymph nodes were	7
will describe the	7
benefit from the	7
in patients presenting	7
in drama therapy	7
of the entire	7
response to covid	7
on mr images	7
age of years	7
using a dedicated	7
groups according to	7
of lifelong learning	7
imaging is a	7
of the com	7
us and mri	7
similar to the	7
the superior oblique	7
morphology of the	7
be difficult to	7
of the e	7
different kinds of	7
of iodinated contrast	7
completion of the	7
deep learning in	7
fi ne needle	7
cta is a	7
based on our	7
distension of the	7
contrast enhanced ct	7
which have been	7
creative arts therapists	7
in the lung	7
assessment of a	7
the formation of	7
patients with previous	7
color duplex sonography	7
and compared with	7
used to evaluate	7
factors such as	7
with the clinical	7
early childhood education	7
features of these	7
addition to the	7
advantages and limitations	7
were acquired in	7
terms of the	7
and the use	7
to try to	7
that their children	7
superior and inferior	7
such as those	7
to mitigate the	7
stratifi cation of	7
ict integration in	7
acceptance of m	7
diffusion coeffi cient	7
mr images were	7
is superior to	7
athens gr learning	7
narrowing of the	7
in the middle	7
three patients with	7
of pulmonary embolism	7
present a pictorial	7
significant increase in	7
education and training	7
the participants were	7
effect on the	7
are needed to	7
the degree to	7
the percentage of	7
examination was performed	7
of the stent	7
quantitative and qualitative	7
order to avoid	7
the signifi cance	7
might be the	7
for the first	7
and degree of	7
the central server	7
if it is	7
types of data	7
evaluation of these	7
have been developed	7
of low attenuation	7
on the right	7
for young children	7
of the vertebral	7
is given by	7
the distance between	7
fi nal diagnosis	7
in the pediatric	7
the white matter	7
this article is	7
it is essential	7
ultrasound contrast agents	7
technique for the	7
of hepatocellular carcinoma	7
to those of	7
to illustrate a	7
and challenges of	7
the analysis of	7
in four patients	7
in the diagnostic	7
the authors declare	7
of pharmaceutical sciences	7
three months after	7
well with the	7
and number of	7
the imaging modality	7
federated learning is	7
by the covid	7
and complications of	7
refers to the	7
were identified in	7
mean of the	7
and to the	7
of the university	7
patients with malignant	7
in open and	7
responses to the	7
with online learning	7
sonographic appearance of	7
educational data mining	7
is a critical	7
of students and	7
the em model	7
was obtained in	7
the lesions and	7
is defined as	7
of creative arts	7
the absorbed dose	7
of the relevant	7
it may also	7
of the lateral	7
radiologist should be	7
aim was to	7
machine learning for	7
differential diagnosis and	7
the female pelvis	7
to the next	7
normal and pathological	7
synchronous and asynchronous	7
there have been	7
more likely to	7
no conflict of	7
ne needle aspiration	7
are based on	7
of virtual learning	7
ndings in the	7
in the group	7
mr imaging was	7
is a high	7
been applied to	7
patients with congenital	7
identifi ed in	7
to the level	7
angiography of the	7
were enrolled in	7
sensitivity and specifi	7
be performed in	7
and there was	7
liver specific contrast	7
should be used	7
are likely to	7
of the treatment	7
pathological fi ndings	7
diagnosis of breast	7
may be due	7
development of new	7
external carotid artery	7
them in the	7
origin of the	7
in other words	7
specifi city of	7
to observe the	7
in many cases	7
uterine fi broids	7
scanning was performed	7
will be used	7
to measure the	7
patients undergoing major	7
an example of	7
means of a	7
are also discussed	7
the mri findings	7
in the health	7
of each student	7
with mr imaging	7
education and learning	7
to understand how	7
the cost of	7
common cause of	7
the model of	7
because it is	7
the provision of	7
on the left	7
allow us to	7
in agreement with	7
the advantages and	7
was considered to	7
and it was	7
in the world	7
of the internet	7
the identification of	7
interaction with the	7
the following parameters	7
spectrum of the	7
of colorectal polyps	7
systematic literature review	7
during and after	7
made it possible	7
with a total	7
how to improve	7
diagnosis based on	7
one in the	7
white matter lesions	7
the past years	7
msct and mri	7
and diagnosis of	7
in the liver	7
in the educational	7
of the medical	7
were evaluated and	7
of the prostate	7
lesions in patients	7
the pandemic has	7
the second year	7
soft tissue tumors	7
of the aortic	7
caused by the	7
subcarinal left pulmonary	7
the human body	7
well as in	7
diagnosis of this	7
goal of this	7
to the online	7
peers and tutors	7
the software can	7
we will show	7
opportunities and challenges	7
comparison of the	6
and global levels	6
as a means	6
would have been	6
and the number	6
may have a	6
status of the	6
shift in modalities	6
to describe a	6
amount of time	6
in the distal	6
the idea of	6
was to investigate	6
the radiation dose	6
times per day	6
age range of	6
in normal and	6
activation in the	6
in the near	6
new ways of	6
of the technique	6
of the infectious	6
the differentiation of	6
is an excellent	6
mm and mm	6
to highlight the	6
gold standard for	6
of imaging features	6
angiography in the	6
lublin pl purpose	6
not possible to	6
on the availability	6
that the parents	6
cause of the	6
the growth of	6
learning in ghana	6
which in turn	6
in virtual reality	6
in real time	6
patients suffering from	6
literature review and	6
radiologists should be	6
by a radiologist	6
have been proposed	6
times per week	6
to be aware	6
the content of	6
in most cases	6
paris fr learning	6
the portal vein	6
in selected patients	6
one patient with	6
images and the	6
we have the	6
diseases of liver	6
significant differences between	6
this method is	6
in the initial	6
correlation with the	6
were placed in	6
were found to	6
is proposed as	6
role of imaging	6
in patients in	6
multiple times per	6
traditional machine learning	6
partial least squares	6
thickness of mm	6
for radiologists to	6
a shift in	6
contrast agents in	6
dealing with the	6
frequently associated with	6
for use in	6
high risk of	6
we observe that	6
were obtained at	6
is often diffi	6
duration of hemodialysis	6
of the ascending	6
the cerebral ventricles	6
to lead to	6
tool is proposed	6
to contribute to	6
with clinical suspicion	6
signs and symptoms	6
white matter tracts	6
at ml sec	6
medical students in	6
the estimation of	6
in the patient	6
different from that	6
potential to improve	6
in medical imaging	6
for the course	6
the safecities community	6
performed on the	6
patients submitted to	6
the data from	6
cases of the	6
suggests that the	6
more than of	6
of infectious diseases	6
use of digital	6
higher than in	6
of the anterior	6
there are also	6
to the traditional	6
can be assessed	6
that they are	6
to consider the	6
should be performed	6
detect the presence	6
of ai and	6
areas of pharmaceutical	6
plain radiographs and	6
order to be	6
patients were scanned	6
different imaging modalities	6
was done in	6
the normal and	6
granulomas and radicular	6
most commonly used	6
the purpose is	6
outbreak of covid	6
is important that	6
risk in patients	6
and control subjects	6
color doppler sonography	6
function of the	6
and the fi	6
of the anatomical	6
two types of	6
the base of	6
ct guided interventions	6
students and faculty	6
the course content	6
autoimmune diseases of	6
parallel to the	6
used as an	6