Generative Ai In Clinical Practice: A Physician's Guide To Transforming Medicine

Generative Ai In Clinical Practice: A Physician's Guide To Transforming Medicine book cover

Generative Ai In Clinical Practice: A Physician's Guide To Transforming Medicine

Author(s): Campion Quinn (Author)

  • Publisher: WSPC
  • Publication Date: October 23, 2025
  • Language: English
  • Print length: 342 pages
  • ISBN-10: 9819823390
  • ISBN-13: 9789819823390

Book Description

Generative AI in Clinical Practice: A Physician’s Guide to Transforming Medicine, is a practical guide for clinicians who want to understand and apply generative AI in everyday care. Designed for readers without a background in computer science, the book explains how large language models and related tools are being integrated into clinical workflows, with clarity, realism, and clinical relevance. You’ll explore how generative AI is already supporting tasks like ambient documentation, diagnostic reasoning, patient education, and care coordination. Each chapter combines clinical vignettes, implementation strategies, and curated examples from frontline practice to show what works, and what to watch out for. The book also addresses critical issues of ethics, bias, regulation, and physician oversight. Rather than offering abstract predictions, it provides grounded, actionable guidance for safely using AI at the point of care. Whether you are a physician, nurse, or healthcare executive, this book will help you make informed decisions about AI adoption. It will also give you the language and insight needed to lead conversations about these emerging tools within your organization. Clear-eyed and practical, this guide is written to help clinicians gain confidence, not just in the technology, but in how to use it wisely.

Editorial Reviews

Review

“Existing publications lack this pragmatic — rather than theoretical — approach for non-academic practitioners. As AI arrives in a big wave to medicine, the book is timely and nicely focused.”

Joseph Sung, MD, PhD Distinguished University Professor, Dean, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore

“This is a very timely topic, especially given the current and upcoming paradigm shifts driven by the increasing use of AI in clinical medicine.”

Julian Gendreau, MD, MS Johns Hopkins University, USA

“Generative AI and large language models (LLMs) are digital assistants that will shape our personal and professional lives — instantly and lastingly. Chatbots and avatars will accompany us into the future of medical practice. However, it’s critical to understand core principles, risks like hallucinations, and protective measures to guard against hype and disillusionment. This book provides practical examples grounded in technical clarity.”

Ralf Huss, MD, PhD Chief Medical Officer, The Tissue Phenomics Company, Germany

About the Author

Campion Quinn, MD, FACP, MHA is a physician, educator, and medical author with over 25 years of experience across internal medicine, geriatrics, and emergency care. A fellow of the American College of Physicians, he has served in leadership roles in managed care and the pharmaceutical industry. Dr Quinn has written extensively on clinical innovation and now focuses on how generative AI can reduce diagnostic error, streamline documentation, and improve patient outcomes. He brings a practical lens to this rapidly changing field, helping clinicians navigate the future of medical practice with confidence. Dr Quinn’s career is marked by a strong commitment to advocacy and education, which is evident in his roles as medical director and chief medical officer for various healthcare organizations. His collaborations with key opinion leaders and pharmaceutical companies have led to notable advancements in medical therapies. His extensive body of work includes numerous journal articles and medical texts, with recent publications focusing on the ethical challenges in medical research. Dr Quinn has authored several books, including Fascinating Fringes of Medicine: From Oddities to Unknown, Artificial Intelligence in Medicine: A Practical Guide for Clinicians, In the Name of Progress: The Dark Side of Medical Research, and New Medical Technology in Patient Care: A Physician’s Guide.

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