Artificial Intelligence for Caries Detection: Value of Data and Information.

Schwendicke, F; Cejudo Grano de Oro, J; Garcia Cantu, A; Meyer-Lueckel, H; Chaurasia, A; Krois, J

Schwendicke, F; Cejudo Grano de Oro, J; Garcia Cantu, A; Meyer-Lueckel, H; Chaurasia, A; Krois, J.

Afiliação

Schwendicke F; Department of Oral Diagnostics, Digital Health and Health Services Research, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Cejudo Grano de Oro J; Department of Oral Diagnostics, Digital Health and Health Services Research, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Garcia Cantu A; Department of Oral Diagnostics, Digital Health and Health Services Research, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Meyer-Lueckel H; Department of Restorative, Preventive and Pediatric Dentistry, zmk bern, University of Bern, Bern, Switzerland.
Chaurasia A; Department of Oral Medicine and Radiology, King George's Medical University, Lucknow, India.
Krois J; Department of Oral Diagnostics, Digital Health and Health Services Research, Charité-Universitätsmedizin Berlin, Berlin, Germany.

J Dent Res ; 101(11): 1350-1356, 2022 10.

Article em En | MEDLINE | ID: mdl-35996332

Assuntos

Suscetibilidade à Cárie Dentária; Cárie Dentária; Inteligência Artificial; Análise Custo-Benefício; Cárie Dentária/diagnóstico por imagem; Humanos; Método de Monte Carlo

Palavras-chave

AI; caries detection/diagnosis/prevention; computer simulation; dental informatics; economic evaluation; radiology

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Texto completo: 1 Temas: ECOS / Aspectos_gerais / Financiamentos_gastos Bases de dados: MEDLINE Assunto principal: Cárie Dentária / Suscetibilidade à Cárie Dentária Tipo de estudo: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies Limite: Humans Idioma: En Revista: J Dent Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha

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