This book chapter delves into the transformative impact of AI and ML in healthcare, exploring their applications in diagnosis, treatment, and healthcare system optimization. It elucidates the fundamental principles of AI/ML and their role in enhancing diagnostic accuracy, predicting risks, and tailoring personalized treatment plans. The narrative extends to the optimization of drug discovery, precision medicine, and the augmentation of treatment outcomes. Beyond clinical applications, the chapter examines how predictive analytics and workflow automation contribute to efficient healthcare delivery and resource allocation. This comprehensive overview caters to healthcare professionals, researchers, policymakers, and technologists, providing valuable insights into the evolving landscape of AI/ML in healthcare for improved patient care and system efficiency.

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AI/ML-Based Approaches in Healthcare: Transforming Diagnosis, Treatment, and Beyond

  • Pawan Whig,
  • Balaram Yadav Kasula,
  • Nikhitha Yathiraju,
  • Imran Ahmed Khan,
  • Amrita Rai,
  • Md RashId Mahmood

摘要

This book chapter delves into the transformative impact of AI and ML in healthcare, exploring their applications in diagnosis, treatment, and healthcare system optimization. It elucidates the fundamental principles of AI/ML and their role in enhancing diagnostic accuracy, predicting risks, and tailoring personalized treatment plans. The narrative extends to the optimization of drug discovery, precision medicine, and the augmentation of treatment outcomes. Beyond clinical applications, the chapter examines how predictive analytics and workflow automation contribute to efficient healthcare delivery and resource allocation. This comprehensive overview caters to healthcare professionals, researchers, policymakers, and technologists, providing valuable insights into the evolving landscape of AI/ML in healthcare for improved patient care and system efficiency.