Artificial intelligence in healthcare is rapidly transforming how medicine is practiced today, and how it will be redefined tomorrow. From AI scribes and digital assistants to diagnostic algorithms, robotics, and autonomous hospital agents, the future of healthcare will be defined by how humans and machines work together. This book is a clear, accessible, and visionary guide to this unfolding transformation.

The book highlights major advances, including AI scribes that reduce doctors' paperwork, imaging tools that detect diseases earlier, algorithms accelerating drug discovery, and AI-powered command centers that improve hospital operations. It also covers emerging areas often overlooked, such as AI in mental health, ethical concerns surrounding bias and regulation, and how global health systems can advance using AI solutions. Each chapter combines real-world case studies, practical insights, and future-focused scenarios to show where the technology is going.

By the end, readers will not only grasp how AI is changing healthcare today, but also how it will shape medicine over the next decade, from restoring empathy in the doctor-patient relationship to making healthcare more efficient, equitable, and human-centered worldwide. Readers will come away with both a practical understanding of AI's potential applications and the frameworks to think critically about what responsible, human-centered innovation in healthcare must look like.

What You Will Learn

•How AI is already reshaping healthcare practice.

•The future possibilities of AI in clinical care, hospitals, research, and mental health.

•The ethical, regulatory, and trust challenges that come with AI adoption.

•How AI will change the doctor-patient relationship.

Who Is This Book For

This book is designed for a diverse audience, including healthcare professionals such as doctors, physician assistants, nurses, and other practitioners; healthcare executives and administrators; as well as technologists and innovators who are entering the healthcare sector and seeking to apply technology to transform patient care and health systems.

Bhargav Patel, MD, MBA

Bhargav Patel, MD, MBA is a physician-scientist, healthcare AI leader, keynote speaker, and entrepreneur at the intersection of medicine, psychiatry, and artificial intelligence. Dr. Patel is a psychiatrist educated and trained at Vanderbilt, the Medical College of Georgia, and Brown University. He is an Adjust Professor in Psychiatry at the Medical College of Georgia and an instructor in business at the University of Maryland's Robert School of Business in their AI for physicians course. He previously served as Chief Medical Officer of Sully.ai, a Silicon Valley health technology company developing AI agents and clinical tools for healthcare, and has advised or consulted for leading healthcare and AI organizations including Doximity, Scale AI, and others. He is also the Founder and CEO of Sage Psychiatric Professionals, a modern digital-first telepsychiatry practice integrating AI-enabled workflows, physician-led clinical models, and scalable care delivery systems to expand access, improve operational efficiency, and preserve high-quality, human-centered psychiatric care. He was previously co-founder and CEO of myPEAK Supplements, an award-winning wellness company.

He has authored multiple peer-reviewed publications, including research on ensemble-based healthcare AI architectures that outperformed leading state-of-the-art large language models, as well as several textbook chapters in psychiatry. He is also the author of Trauma Transformed: Understanding Trauma, PTSD, Resilience, and Post-Traumatic Growth. He is triple board certified in general psychiatry, child and adolescent psychiatry, and artificial intelligence in medicine through the American Board of Artificial Intelligence in Medicine.

Jay Gopal

Jay Gopal is a physician-in-training, entrepreneur, and researcher advancing healthcare through artificial intelligence. He is the Founder & CEO of Kyron Medical, a healthcare technology company building AI-powered voice agents and automation that transform patient access, medical billing, and denial management for physician groups and health systems. Under his leadership, Kyron has grown into a platform spanning AI voice receptionists, revenue cycle automation, and call center training, helping practices reduce administrative burden, expand access to care, and recover revenue lost to payer complexity. Previously, Gopal worked for multiple years at Kaiser Permanente, where he developed and piloted AI tools to support clinical programs and physician workflows. Gopal is currently a medical student at the Warren Alpert Medical School of Brown University. He previously completed a Bachelor of Science with Honors in Computational Neuroscience at Brown, where his thesis advanced brain-aligned deep learning models of human visual perception.

His research spans Brown, Stanford, Johns Hopkins, and the U.S. Department of Energy, with numerous publications in Springer Nature journals and presentations across cardiology, neurosurgery, plastic surgery, dermatology, psychiatry, radiology, and ophthalmology. His work has been featured in NBC News, the USA Today Network, the Boston Globe, and the Providence Journal. He is a thought leader in healthcare AI and has been an invited speaker at conferences across the United States, including the American Heart Association and the Congress of Neurological Surgeons. Gopal is passionate about making healthcare more accessible by reducing administrative burdens for physicians and mentoring the next generation of aspiring physician-leaders.