About The Author

S. Sandy Sanbar

MD, PhD, JD, FCLM, DABLM

S. Sandy Sanbar, MD, PhD, JD, FCLM, DABLM is a distinguished physician, legal scholar, and educator with decades of experience bridging medicine, law, and ethics. As Executive Director and Past Chairman of the American Board of Legal Medicine, Dr. Sanbar has shaped standards for medical-legal practice and professional responsibility. A practicing clinician and academic leader, he compiled this two-volume set to fill the global educational gap in AI for healthcare — providing clinicians with the conceptual clarity needed to navigate and lead in an AI-enabled world.

ABOUT THE BOOK

Ai In Healthcare

AI in Healthcare is a comprehensive two-volume reference designed for the entire healthcare workforce in 2026. Written in clear, accessible language, this set provides a unified conceptual framework that demystifies artificial intelligence from foundational principles to real-world clinical application.

Volume 1 focuses on the foundations of AI, models and architectures, healthcare operations, EHR integration, knowledge management, and governance.

ABOUT THE BOOK

Ai In Healthcare

Volume 2

Volume 2 delivers in-depth coverage of AI across every medical specialty, along with critical topics in law, liability, ethics, equity, and the future of hybrid human–AI care.

Together, the volumes offer everything clinicians, educators, residents, and administrators need to understand AI, use it safely, and lead in an AI-enabled healthcare environment. Whether you are just beginning your AI journey or seeking advanced specialty-specific insights, this set serves as the essential 2026 roadmap.

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Table of Content

Introduction 1

SECTION I: FOUNDATIONS OF AI IN HEALTHCARE 4

Chapter 1 — The Evolution of Artificial Intelligence in Healthcare 5

Chapter 2 — Understanding Generative AI: Concepts, Capabilities, and Boundaries 17

Chapter 3 — AI as Knowledge Infrastructure 29

Chapter 4 — The Emergence of Evidence-Anchored Generative Systems 41

SECTION II: AI SYSTEMS, MODELS, AND ARCHITECTURES 52

Chapter 5 — Large Language Models and Foundation Models 53

Chapter 6 — Multimodal AI and the Integration of Text, Images, Audio, and Structured Data 65

Chapter 7 — Clinical Decision Support (CDS): A Conceptual Framework 76

Chapter 8 — Ambient, Administrative, and Workflow-Support AI Tools 88

SECTION III: HEALTHCARE OPERATIONS, WORKFLOWS, AND SYSTEMS 100

Chapter 9 — AI in Healthcare Operations and Systems Management 101

Chapter 10 — AI in Finance, Revenue Cycle, and Administrative Efficiency 113

  1. HFMA. “AI in Revenue Cycle Management.” Healthcare Financial Management Association. AI in Revenue Cycle Management. HFMA Industry Report; 2023. 122

Chapter 11 — AI and Electronic Health Record (EHR) Integration 126

Chapter 12 — AI for Knowledge Management and Organizational Learning 139

SECTION IV: GOVERNANCE, ETHICS, AND RESPONSIBLE DEPLOYMENT 151

Chapter 13 — AI Governance in Healthcare Organizations 152

Chapter 14 — Safety, Transparency, and Trustworthy AI Principles 163

Chapter 15 — Data Stewardship, Privacy, and Security in the Age of AI 172

Chapter 16 — Bias, Equity, and Fairness in AI Systems 181

SECTION V: THE FUTURE OF AI IN HEALTHCARE 189

Chapter 17 — Hybrid Human–AI Workflows: The Next Era of Clinical Support 190

Chapter 18 — AI and the Future of Medical Education and Training 200

Chapter 19 — Digital Twins, Predictive Modeling, and Systems-Level Intelligence 208

Chapter 20 — The Road Ahead: Transparent, Trustworthy, and Interoperable AI Ecosystems 216

SECTION VI: LAW, ETHICS, AND LIABILITY IN THE AGE OF AI 225

Chapter 21  Federal and State Law of Artificial Intelligence in Healthcare 226

Chapter 22 Ethical Considerations for All Healthcare Stakeholders 237

Chapter 23 Liability, Malpractice, and Accountability in AI-Enabled Care 247

Chapter 24 Humanoids in Healthcare 259

Chapter 25 Proposed Used of Humanoids in Palliative Psychiatry: A Comprehensive Framework for End-Stage Mental Disorders 270

Chapter 26 Epilogue: A Unified Vision for AI-Enabled Healthcare 282

Index 287

Table of Content

SECTION I: AI ACROSS ALL ABLM-APPROVED MEDICAL SPECIALTIES 1

Chapter 1 — AI in Allergy (2026 Update) 2

Chapter 2 — Artificial Intelligence in Anesthesiology (2026 Update) 15

Chapter 3 — Artificial Intelligence in Cardiology (2026 Update) 27

Chapter 4 — Artificial Intelligence in Dermatology (2026 Update) 38

Chapter 5 — Artificial Intelligence in Emergency Medicine (2026 Update) 49

Chapter 6 — Artificial Intelligence in Endocrinology (2026 Update) 59

Chapter 7 — Artificial Intelligence in Family Medicine (2026 Update) 69

Chapter 8 — Artificial Intelligence in Gastroenterology (2026 Update) 81

Chapter 9 — Artificial Intelligence in Hematology (2026 Update) 91

Chapter 10 — Artificial Intelligence in Infectious Disease (2026 Update) 101

Chapter 11 — Artificial Intelligence in Primary Care (2026 Update) 111

Chapter 12 — Artificial Intelligence in Nephrology (2026 Update) 121

Chapter 13 — Artificial Intelligence in Neurology (2026 Update) 131

Chapter 14 — Artificial Intelligence in Women’s Health [Ob-Gyn]  – (2026 Update) 142

Chapter 15 — Artificial Intelligence in Oncology (2026 Update) 154

Chapter 16 — Artificial Intelligence in Ophthalmology (2026 Update) 163

Chapter 17 — Artificial Intelligence in Orthopedics (2026 Update) 173

Chapter 18 — Artificial Intelligence in Otolaryngology (ENT): Transforming Diagnosis, Treatment, and Surgical Precision 185

Chapter 19 — Artificial Intelligence in Pathology (2026 Update) 195

Chapter 20 — The Role of Artificial Intelligence in Pediatric Healthcare (2026 Update) 204

Chapter 21 — Artificial Intelligence in Physical Medicine & Rehabilitation (PM&R) 213

Chapter 22 — Artificial Intelligence in Psychiatry (2026 Update) 225

Chapter 23 — Artificial Intelligence in Pulmonology (2026 Update) 235

Chapter 24 — Artificial Intelligence in Rheumatology (2026 Update) 247

Chapter 25 — Artificial Intelligence in Sports Medicine (2026 Update) 257

Chapter 26 — Artificial Intelligence in Surgery (2026 Update) 269

Chapter 27 — Artificial Intelligence in Urology 278

SECTION II – AI ACROSS DENTAL, NURSES, HOME HEALTH, AND VETERINARY SPECIALTIES 292

Chapter 28 — Artificial Intelligence in Dentistry: Transforming General and Specialty Dental Care in the Age of AI 293

Chapter 29 — Artificial Intelligence in Nursing: Transforming All Nursing Specialties in the Age of AI 303

Chapter 30 — Artificial Intelligence in Home Health: The Most Rapidly Developing Frontier of AI-Enabled Care 311

Chapter 31 — Artificial Intelligence in Veterinary Medicine: Transforming Animal Health and Veterinary Specialties in the Age of AI 322

Index 332