Artificial intelligence for radiographic imaging detection of caries lesions: a systematic review

Artificial intelligence for radiographic imaging detection of caries lesions: a systematic review

Abstract Background The aim of this systematic review is to evaluate the diagnostic performance of Artificial Intelligence (AI) models designed for the detection of caries lesion (CL). Materials and methods An electronic literature search was conducted on PubMed, Web of Science, SCOPUS, LILACS and E...

Full description

Bibliographic Details
Main Authors: Domenico Albano, Vanessa Galiano, Mariachiara Basile, Filippo Di Luca, Salvatore Gitto, Carmelo Messina, Maria Grazia Cagetti, Massimo Del Fabbro, Gianluca Martino Tartaglia, Luca Maria Sconfienza
Format: Article
Language:English
Published: BMC 2024-02-01
Series:BMC Oral Health
Subjects:
Artificial intelligence
Caries lesion
Radiographic imaging
Detection
Diagnosis
Online Access:https://doi.org/10.1186/s12903-024-04046-7

Internet

https://doi.org/10.1186/s12903-024-04046-7

Similar Items