key: cord-0717758-dpl1kmtn
authors: Gupta, Anish; Gotmare, Swati Shrikant
title: Use of Machine Learning for Oral Pathology- A Technological Advancement
date: 2022-03-31
journal: J Oral Maxillofac Pathol
DOI: 10.4103/jomfp.jomfp_338_21
sha: 96022cd61213cb54b9932c68db43d02904c1e34d
doc_id: 717758
cord_uid: dpl1kmtn

nan

with e-learning in developing countries to meet the quality in education. [2] SOLUTION We h a v e i n t r o d u c e d a m o b i l e a p p l i c a t i o n titled "Oral Pathology Ready Reckoner" which is published in Google Play Store (https://play. google.com/store/apps/details?id=appinventor.ai_ oralpathreckoner.OralPathologyReadyReckoner&fbclid =IwAR2rGleAQBGZor5F5ll2kv8mYHImJzhfmbzef_ CMm1TuZ1qX6l5T2KhI2mA). This application has features such as handmade sketches of oral histopathology lesions along with audio. This feature is available even if the Internet connection is not available, thereby enabling students to learn without any hindrance of net connection. The application further also has a unique feature wherein the student can learn important concepts of a single topic. In such situation with the help of machine learning, the application only picks up certain important points related to that topic. The third feature that it includes is the pdf of all the lesions. We devised this application considering the problems faced by the undergraduate students to cope up with their curriculum. This application was conceptualized, designed and programmed by us and was made in MIT App Inventor. After the app was built, it was published in Google Play Store and was released on April 16, 2021, after complete review. 

The statistics of Google Play Store showed that there were a total of 637 downloads till April 23, 2021, from different parts of the world [ Figures 1 and 2 ]. The counts have been increasing gradually. India showed maximum number of downloads. Forty-six users rated the app, and the rating was 4.870 out of 5. The reviews were generally positive. Some users suggested that if there could be a real-time feature wherein the practitioner can post their clinical or histopathological pictures for review. Although this feature was never in the gambit, we still feel that the application can be improved if we add this feature. Amid all this, we are still hopeful that this app can change the dynamics of learning in dentistry.

Nil.

There are no conflicts of interest.

Anish Gupta 1 , Swati Shrikant Gotmare 2

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