Mapping the Use of Artificial Intelligence-Based Image Analysis for Clinical Decision-Making in Dentistry: A Scoping Review.

Journal: Clinical and experimental dental research
PMID: 39600121

Abstract

OBJECTIVES: Artificial intelligence (AI) is an emerging field in dentistry. AI is gradually being integrated into dentistry to improve clinical dental practice. The aims of this scoping review were to investigate the application of AI in image analysis for decision-making in clinical dentistry and identify trends and research gaps in the current literature.

Authors

  • Wei Chen
    Department of Urology, Zigong Fourth People's Hospital, Sichuan, China.
  • Monisha Dhawan
    Melbourne Dental School, The University of Melbourne, Carlton, Victoria, Australia.
  • Jonathan Liu
    Dept. of Biomedical Engineering, Johns Hopkins University, Baltimore MD.
  • Damie Ing
    Melbourne Dental School, The University of Melbourne, Carlton, Victoria, Australia.
  • Kruti Mehta
    Melbourne Dental School, The University of Melbourne, Carlton, Victoria, Australia.
  • Daniel Tran
    Institute for Plant Production Sciences, Agroscope, Route des Eterpys 18, CH-1964, Conthey, Switzerland. qnoctnandaniel.tran@agroscope.admin.ch.
  • Daniel Lawrence
    CoTreatAI, CoTreat Pty Ltd., Melbourne, Victoria, Australia.
  • Max Ganhewa
    CoTreatAI, CoTreat Pty Ltd., Melbourne, Victoria, Australia.
  • Nicola Cirillo
    Melbourne Dental School, The University of Melbourne, Carlton, VIC 3053, Australia.

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