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Artificial Intelligence Helps Diagnose Oral Potentially Malignant Disorders: A Systematic Review and Meta-Analysis.

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第一作者： D,Horvath

第一单位： Centre for Translational Medicine, Semmelweis University, Budapest, Hungary.;Department of Oral Diagnostics, Semmelweis University, Budapest, Hungary.

作者： D,Horvath ^[1] ; A,Fekete ^[2] ; P,Martinekova ^[3] ; S,Kiss-Dala ^[4] ; E,Abram ^[5] ; K,Marton ^[6] ; A,Zsembery ^[7] ; P,Hegyi ^[8] ; A,Brody ^[1]

作者单位： Centre for Translational Medicine, Semmelweis University, Budapest, Hungary.;Department of Oral Diagnostics, Semmelweis University, Budapest, Hungary. ^[1] Centre for Translational Medicine, Semmelweis University, Budapest, Hungary.;Department of Restorative Dentistry and Endodontics, Semmelweis University, Budapest, Hungary. ^[2] Centre for Translational Medicine, Semmelweis University, Budapest, Hungary. ^[3] Centre for Translational Medicine, Semmelweis University, Budapest, Hungary.;Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary. ^[4] Centre for Translational Medicine, Semmelweis University, Budapest, Hungary.;Department of Prosthodontics, Semmelweis University, Budapest, Hungary. ^[5] Centre for Translational Medicine, Semmelweis University, Budapest, Hungary.;Department of Preclinical Dentistry, Semmelweis University, Budapest, Hungary. ^[6] Centre for Translational Medicine, Semmelweis University, Budapest, Hungary.;Department of Oral Biology, Faculty of Dentistry, Semmelweis University, Budapest, Hungary. ^[7] Centre for Translational Medicine, Semmelweis University, Budapest, Hungary.;Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.;Institute of Pancreatic Diseases, Semmelweis University, Budapest, Hungary. ^[8]

关键词 machine learning neoplasms oral carcinogenesis oral medicine oral oncology

DOI 10.1177/23800844251403962

PMID 41562124

发布时间 2026-01-21

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