Assessment of AI-Driven Software Accuracy in Diagnosing Oral Lesions Using Radiographic Imaging

Assessment of AI-Driven Software Accuracy in Diagnosing Oral Lesions Using Radiographic Imaging

Background: The application of artificial intelligence (AI) in dentistry has gained significant attention, particularly in diagnosing oral lesions using radiographic imaging. Materials and Methods: A total of 150 digital radiographic images of patients with suspected oral lesions were analyzed. The...

Full description

Saved in:
Bibliographic Details
Main Authors: Virendra Singh, Priyesh Mathur, Beena Thakker, Zeba Rao, Inderjit M. Gowdar, Hemant K. Butolia, Dharamveer S. Chouhan
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2025-06-01
Series:Journal of Pharmacy and Bioallied Sciences
Subjects:
artificial intelligence
ai-driven diagnostics
dental radiology
diagnostic accuracy
machine learning
oral lesions
radiographic imaging
Online Access:https://journals.lww.com/10.4103/jpbs.jpbs_112_25
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://journals.lww.com/10.4103/jpbs.jpbs_112_25

Similar Items