Detection of the pathological exposure of pulp using an artificial intelligence tool: a multicentric study over periapical radiographs.

Altukroni, A; Alsaeedi, A; Gonzalez-Losada, C; Lee, J H; Alabudh, M; Mirah, M; El-Amri, S; Ezz El-Deen, O

Altukroni, A; Alsaeedi, A; Gonzalez-Losada, C; Lee, J H; Alabudh, M; Mirah, M; El-Amri, S; Ezz El-Deen, O.

Afiliação

Altukroni A; Ministry of Health, Medina, Saudi Arabia. research-manager@swc-dent.com.
Alsaeedi A; Department of Computer Science, College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia.
Gonzalez-Losada C; School of Dentistry, Complutense University of Madrid, Madrid, Spain.
Lee JH; Department of Periodontology, College of Dentistry and Institute of Oral Bioscience, Jeonbuk National University, Jeonju, Korea.
Alabudh M; Ministry of Health, Medina, Saudi Arabia.
Mirah M; Department of Dental Materials, Taibah University, Medina, Saudi Arabia.
El-Amri S; Ministry of Health, Ankara, Turkey.
Ezz El-Deen O; Ministry of Health, Cairo, Egypt.

BMC Oral Health ; 23(1): 553, 2023 08 11.

Article em En | MEDLINE | ID: mdl-37563659

Assuntos

Inteligência Artificial; Polpa Dentária; Humanos; Polpa Dentária/diagnóstico por imagem; Curva ROC; Radiografia

Palavras-chave

Artificial Intelligence; Caries; Deep Learning; Periapical Radiograph; Pulp Exposure; Yolov5x

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Polpa Dentária Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google