Doctor AI: Medical Conservatism in the Age of Artificial Intelligence
Amos O. Daré MD, FACS shares his unique perspective on the intersection of medicine, technology, and ethics in this groundbreaking new book.
Forwarded by Harvey Castro MD, MBA, FACEP
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About the Author: Amos O. Daré MD, FACS
Dr. Amos O. Daré is a Yale-trained neurosurgeon and adjunct faculty at the University of Miami, School of Medicine. He has published numerous papers and is a thought leader and a frequent speaker on the topic of medical ethics and innovation and, in particular, on the impact of artificial intelligence on healthcare. Dr. Daré is also the Founder and CEO of MedMatch Network, an AI - powered digital health platform connecting medical providers and patients and improving healthcare access and delivery. His expertise in the field of medicine and extensive knowledge of AI make his insights invaluable.
Preface
Doctor AI: Medical Conservatism in the Age of Artificial Intelligence provides a fresh perspective on the integration of medical technology and artificial intelligence, and its impact on medical ethics.
This book is an invitation to healthcare professionals, healthcare policy makers, technologists, medical students, and all other interested parties, including patients, to embark on a transformative journey with Dr. Daré through the crossroad of medical conservatism and technological innovation, and, in particular, artificial intelligence. This book serves as a guide, offering insights, analysis, and a roadmap for navigating the complexities of integrating AI into healthcare while respecting the principles of medical conservatism and upholding ethical considerations. Dr. Daré's hope is that: "By joining forces and engaging in constructive dialogue, we can collectively shape the future of healthcare, embracing the potential of AI to revolutionize patient care while ensuring its responsible and compassionate application."

Amos O. Daré, MD, FACS
Subject and Thesis
The book explores the risks and benefits of introducing AI in medicine and the ethical dilemmas that arise from this integration. The thesis of the book is that while AI has the potential to revolutionize medicine, it must be carefully integrated into the existing fabric of medical conservatism, a tried and true principle of medicine, to avoid harming patients, healthcare providers, and society at large.
Chapters
1
Chapter 1: AI meets Traditional Medicine
2
Chapter 2: Understanding Medical Conservatism
3
Chapter 3: The Rise of AI in Medicine
4
Chapter 4: Clash between AI and Medical Conservatism
1
Chapter 5: Potential Impact of AI on Medical Conservatism
2
Chapter 6: Ethical Considerations and Patient Safety
3
Chapter 7: Overcoming Challenges and Nurturing Trust
4
Chapter 8: Navigating the Future: Finding a Balance
Chapter 9: Ethical Guidelines and Regulatory Framework for AI Implementation in Healthcare
Chapter 10: Embracing the Future
Excerpts from the book
On the Integration of AI in Medicine
"AI has the potential to revolutionize healthcare in many ways; however, integration of AI in healthcare requires careful consideration, not only technically, but also ethically."
On Potential Impact of AI on Medical Conservatism
"The inherent differences in the methodology of medical conservatism and AI in clinical applications forces us to re-evaluate the cornerstone principles of the former."
On AI and Patient Privacy
"The use of AI in medicine requires that patient privacy be preserved at all times - the potential for misuse of data must be proactively guarded against."
On AI and Medical Decision Making
"AI should complement and not replace human expertise. Human judgment, empathy, and clinical experience remain crucial in healthcare decision-making."
Foreword by:
Harvey Castro MD, MBA, FACEP
In his forward to Medical Conservatism in the Age of Artificial Intelligence, esteemed physician and chatGPT Healthcare advisor, Harvey Castro, MD, MBA highlights the importance of this work: "In this groundbreaking new book, Dr. Amos O. Daré deftly navigates the complex and often contentious terrain of AI integration in medicine, opening up new insight into the complicated dynamics between traditional healthcare practice and the adoption of innovation and in particular AI.
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