Enhancing Medical Education Using AI
CRC Press
Will be published approx. on 29. October 2026
240 pages
E-Book
978-1-040-99792-5 (ISBN)
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Description
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The use of Artificial Intelligence (AI) in medicine can deliver significant improvements in the delivery of health care. As clinicians learn more about the technology and grow alongside it, so too will new methods of using and analyzing clinical data emerge. Medical education encompasses many levels: medical school, internship, residency, fellowship, and continuing medical education. At each of these levels, AI is, and will, revolutionize the way that health care providers learn, teach, and share information. This book is the first of its kind to explore the potential ways in which AI may specifically transform medical education across the globe.
Key Features:
Discusses a timely, relevant, hot topic in medical schools and beyond
Focuses on AI in medical education that is relevant to trainees and practising clinicians across all specialities
Proves useful for physicians working on continuing medical education activities
Key Features:
Discusses a timely, relevant, hot topic in medical schools and beyond
Focuses on AI in medical education that is relevant to trainees and practising clinicians across all specialities
Proves useful for physicians working on continuing medical education activities
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Illustrations
14 Tables, black and white; 10 Line drawings, black and white; 2 Halftones, black and white; 12 Illustrations, black and white
ISBN-13
978-1-040-99792-5 (9781040997925)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Jason Liebowitz | Marcy B. Bolster | Philip Seo
Enhancing Medical Education Using AI
Book
approx. 10/2026
1st Edition
CRC Press
€247.50
Not yet published
Jason Liebowitz | Marcy B. Bolster | Philip Seo
Enhancing Medical Education Using AI
Book
approx. 10/2026
1st Edition
CRC Press
€50.00
Not yet published
Persons
Jason E. Liebowitz, MD is Assistant Professor of Medicine at Columbia University Vagelos College of Physicians and Surgeons. His research and writings have been published in The New England Journal of Medicine, JAMA, JAMA Internal Medicine, Arthritis Care and Research, and The Journal of Graduate Medical Education. He is a co-editor of the textbook Clinical Innovation in Rheumatology: Past, Present, and Future and a co-editor of the textbook series Interdisciplinary Rheumatology. He has a strong interest in medical education and serves as the co-director of the Rheumatology and Clinical Immunology medical student course at Columbia University.
Marcy B. Bolster, MD is a rheumatologist and Director of the Rheumatology Fellowship Training Program at the Massachusetts General Hospital, Boston, MA. She is Professor of Medicine at Harvard Medical School. She has a strong inter-est in medical education across the spectrum of learners, and she has helped train more than 70 rheumatology fellows. Her commitment to medical education focuses on curriculum design, assessment, mentorship, and professionalism. She is the recipient of the 2019 American College of Rheumatology Distinguished Program Director Award, the 2019 Partners (now Mass General Brigham) Outstanding Program Director Award, and the 2021 Arthritis Foundation Marian Ropes Lifetime Achievement Award.
Philip Seo, MD, MHS is Associate Professor of Medicine at Johns Hopkins University and the Rheumatology Physician Editor for UpToDate. He was Director of the Johns Hopkins Vasculitis Center and Director of the Johns Hopkins Rheumatology Fellowship Training Program for 11 years, and recently completed his tenure as Physician Editor for The Rheumatologist, a publication of the American College of Rheumatology. In 2021, he received the American College of Rheumatology's Distinguished Clinician Scholar Award, which is awarded annually to a rheuma-tologist who makes outstanding contributions in clinical medicine, clinical scholar-ship, or education.
Marcy B. Bolster, MD is a rheumatologist and Director of the Rheumatology Fellowship Training Program at the Massachusetts General Hospital, Boston, MA. She is Professor of Medicine at Harvard Medical School. She has a strong inter-est in medical education across the spectrum of learners, and she has helped train more than 70 rheumatology fellows. Her commitment to medical education focuses on curriculum design, assessment, mentorship, and professionalism. She is the recipient of the 2019 American College of Rheumatology Distinguished Program Director Award, the 2019 Partners (now Mass General Brigham) Outstanding Program Director Award, and the 2021 Arthritis Foundation Marian Ropes Lifetime Achievement Award.
Philip Seo, MD, MHS is Associate Professor of Medicine at Johns Hopkins University and the Rheumatology Physician Editor for UpToDate. He was Director of the Johns Hopkins Vasculitis Center and Director of the Johns Hopkins Rheumatology Fellowship Training Program for 11 years, and recently completed his tenure as Physician Editor for The Rheumatologist, a publication of the American College of Rheumatology. In 2021, he received the American College of Rheumatology's Distinguished Clinician Scholar Award, which is awarded annually to a rheuma-tologist who makes outstanding contributions in clinical medicine, clinical scholar-ship, or education.
Editor
Assistant Professor of Medicine
Johns Hopkins University School of Medicine, Baltimore, USA
Content
1 What is Artificial Intelligence? 2 Generative AI in Medical Education 3 Teaching Empathy in the Era of AI 4 Teaching Professionalism and Ethics in the Era of AI 5 AI and Surgical Training 6 AI and Pathology Training 7 AI and Radiology Training 8 Artificial Intelligence in Course Design and Curriculum: A Medical Education Perspective 9 Using AI to Enhance Recruitment of Trainees in Residency and Fellowship 10 AI Evaluation of Clinicians: Best Practices for Implementation in the Large Language Model Era 11 AI at the Bedside 12 AI and Clinical Reasoning
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