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This book chapter explores the potential of Artificial Intelligence (AI) to improve clinical workflows for the diagnosis of Oral Potential Malignant Disorders (OPMDs) and the prevention of Oral Squamous Cell Carcinoma (OSCC). It provides a background on AI, including its history and evolution, with a focus on Machine Learning (ML) and Deep Learning (DL) techniques. The chapter also presents the use of AI in OPMD diagnosis and its application in various domains, including mobile technologies, medical images, clinical records, and others. It also acknowledges the limitations and challenges in data quality, human barriers, adoption of AI in healthcare, ethical and legal considerations. Finally, it discusses the future directions of AI in OPMD diagnosis, highlighting its potential for personalized medicine and the importance of collaboration to overcome challenges and ensure ethical implementation.

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An Introduction to Artificial Intelligence in Medicine and Its Role in Oral Potentially Malignant Disorders (OPMD)

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Fabian León,
  • Dawood Al Chanti,
  • Anne Champagnac,
  • Mathieu Dupoy,
  • Alice Caplier,
  • Laurent Duraffourg,
  • Pierre Saintigny

摘要

This book chapter explores the potential of Artificial Intelligence (AI) to improve clinical workflows for the diagnosis of Oral Potential Malignant Disorders (OPMDs) and the prevention of Oral Squamous Cell Carcinoma (OSCC). It provides a background on AI, including its history and evolution, with a focus on Machine Learning (ML) and Deep Learning (DL) techniques. The chapter also presents the use of AI in OPMD diagnosis and its application in various domains, including mobile technologies, medical images, clinical records, and others. It also acknowledges the limitations and challenges in data quality, human barriers, adoption of AI in healthcare, ethical and legal considerations. Finally, it discusses the future directions of AI in OPMD diagnosis, highlighting its potential for personalized medicine and the importance of collaboration to overcome challenges and ensure ethical implementation.