Evaluating the accuracy of AI-based software vs human interpretation in the diagnosis of dental caries using intraoral radiographs: An RCT

Evaluating the accuracy of AI-based software vs human interpretation in the diagnosis of dental caries using intraoral radiographs: An RCT

Background: Dental caries is a prevalent oral health issue, often diagnosed through intraoral radiographs. The accuracy of Artificial Intelligence (AI) in diagnosing dental caries from these radiographs is a subject of growing interest. Materials and Methods: In this RCT, 200 intraoral radiographs w...

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Bibliographic Details
Main Authors: Maneesha Das, Kamil Shahnawaz, Koti Raghavendra, R Kavitha, Bharath Nagareddy, Sabari Murugesan
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2024-01-01
Series:Journal of Pharmacy and Bioallied Sciences
Subjects:
artificial intelligence
dental caries
diagnosis
intraoral radiographs
randomized controlled trial
sensitivity
specificity
Online Access:http://www.jpbsonline.org/article.asp?issn=0975-7406;year=2024;volume=16;issue=5;spage=812;epage=814;aulast=Das

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http://www.jpbsonline.org/article.asp?issn=0975-7406;year=2024;volume=16;issue=5;spage=812;epage=814;aulast=Das

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