Role Of Artificial Intelligence in Clinical Diagnosis of Oral Potentially Malignant Disorders: A Scoping Review

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Author Info

Kriti Agarwal Krishna Sireesha Sundaragiri Shikha Saxena Akshay Bhargava Bharat Sankhla Jaswant Singh

Corresponding Author

Kriti Agarwal
Post Graduate, Department of Oral Pathology RUHS College of Dental Sciences (Govt. Dental College) Jaipur, Rajasthan, India

A B S T R A C T

Oral potentially malignant disorders encompass a spectrum of lesions that present an increased risk of progressing to oral cancer. Timely and accurate diagnosis, as well as effective risk prediction, are crucial for early intervention and improved patient outcomes. In recent years, the integration of artificial intelligence has emerged as a transformative approach in the realm of medical diagnostics, offering innovative tools to enhance the precision and efficiency of disease identification and risk assessment. Notably, artificial intelligence driven image analysis techniques have demonstrated remarkable potential in interpreting oral lesion images, aiding in the accurate identification of morphological characteristics associated with these oral lesions. This review explores the evolving role of AI in the clinical diagnosis and risk prediction of these disorders.

Article Info

Article Type

Review Article

Publication history

Received: Fri 15, Dec 2023
Accepted: Sat 06, Jan 2024
Published: Wed 24, Jan 2024

Copyright

© 2023 Kriti Agarwal. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Hosting by Science Repository.
DOI: 10.31487/j.DOBCR.2024.01.01