The Emerging Influence of Artificial Intelligence on Traditional Medical Textbooks.

Journal: The Annals of thoracic surgery
Published Date:

Abstract

This review provides a comprehensive exploration of how artificial intelligence (AI) is reshaping medical education and the role of traditional textbooks. The historical context underscores the evolution of medical knowledge bridging past advances with current AI-driven innovations, highlighting the indispensable role of both printed and electronic medical textbooks. The strengths and limitations of traditional and digital textbooks are considered. The potential for AI to enhance medical education through real-time updates, personalized learning, and advanced visual aids is particularly compelling. This perspective is critical for practitioners and educators who are navigating the integration of AI in their fields.

Authors

  • Joseph A Dearani
    From Divisions of Cardiovascular Surgery (R.M.S., A.T., H.M.B., R.C.D., J.A.D.), Anesthesiology (W.M.), Cardiovascular Diseases (R.A.N., H.I.M., M.E.-S.), and Biomedical Statistics and Informatics (Z.L.), Mayo Clinic, Rochester, MN.
  • Constantine Mavroudis
    Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland; Pediatric Cardiothoracic Surgery, Peyton Manning Children's Hospital, Indianapolis, Indiana. Electronic address: constantinemavroudis@gmail.com.