Artificial intelligence and radiomics in the diagnosis of intraosseous lesions of the gnathic bones: A systematic review.
Daniela Giraldo RoldánAnna Luíza Damaceno AraújoMatheus Cardoso MoraesViviane Mariano da SilvaErin Crespo Cordeiro RibeiroMatheus CerqueiraCristina Saldivia-SiracusaSebastião Silvério de Sousa NetoMaria Eduarda Pérez de OliveiraMárcio Ajudarte LopesLuiz Paulo KowalskiAndré Carlos Ponce de Leon Ferreira de CarvalhoAlan Roger Dos Santos SilvaPablo Agustin VargasPublished in: Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology (2024)
There is no conclusive evidence to support the usefulness of ML-based models in the detection, segmentation, and classification of intraosseous lesions in gnathic bones for routine clinical application. The lack of detail about data sampling, the lack of a comprehensive set of metrics for training and validation, and the absence of external testing limit experiments and hinder proper evaluation of model performance.