Diagnostic accuracy of artificial intelligence assisted clinical imaging in the detection of oral potentially malignant disorders and oral cancer: a systematic review and meta-analysis.

Journal: International journal of surgery (London, England)
Published Date: Aug 1, 2024

Abstract

BACKGROUND: The objective of this study is to examine the application of artificial intelligence (AI) algorithms in detecting oral potentially malignant disorders (OPMD) and oral cancerous lesions, and to evaluate the accuracy variations among different imaging tools employed in these diagnostic processes.

Authors

  • Jingwen Li
    Cloud Computing and Big Data Research Institute, China Academy of Information and Communications Technology, People's Republic of China.
  • Wai Ying Kot
    Faculty of Dentistry, The University of Hong Kong.
  • Colman Patrick McGrath
    Division of Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong.
  • Bik Wan Amy Chan
    Department of Anatomical and Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong.
  • Joshua Wing Kei Ho
  • Li Wu Zheng
    Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong.

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