Full Description
From algorithms that draft clinical notes in seconds to autonomous agents that triage emergency room backlogs, artificial intelligence is quietly reshaping every facet of healthcare. Generative AI: Unlocking the Next Chapter in Healthcare is the first comprehensive guide to this revolution—charting how we got here, what's working now, and where the technology could take us next.
Drawing on frontline case studies from leading health systems, biotech labs, and tech giants, the book reveals how large language models, synthetic data engines, and multi agent ecosystems are boosting diagnostic accuracy, accelerating drug discovery, and personalizing patient engagement. It also confronts the hard questions—privacy, bias, liability, and the fear of "machines taking over"—offering clear, actionable frameworks for ethical, human centered deployment.
Written for clinicians, executives, innovators, and policy makers and patients alike, this definitive volume distils the expertise of industry pioneers into an accessible roadmap. You'll explore:
• The evolution from early machine learning to today's generative powerhouses
• Real world wins—ambient documentation, AI assisted radiology, virtual nursing, and more
• The players shaping the landscape: Epic, Google, Microsoft, NVIDIA, Salesforce, and a wave of insurgent startups
• Guardrails that preserve trust, protect privacy, and keep humans in the loop
• Bold yet plausible futures—from digital twin medicine to globe-spanning agent networks
Whether you're leading a hospital, building health tech solutions, a tech startup, or simply curious about the future of care, Generative AI: Unlocking the Next Chapter in Healthcare delivers the insight, inspiration, and practical guidance you need to thrive in the era where human empathy and machine intelligence work side by side.
Contents
Acknowledgements. Foreword. Preface. Introduction. About the Authors. Chapter 1 - Evolution of AI in Healthcare: From ML to LLMs. Chapter 2 - Current Landscape of GAI in Healthcare. Chapter 3 - Future Directions and Innovations. Chapter 4 - Key Players and Startup Opportunities. Chapter 5 - Privacy and Ethical Considerations. Chapter 6 - Challenges in GAI Implementation. Chapter 7 - Integration of GAI into Medical Practice. Chapter 8 - Impact on Healthcare Delivery. Chapter 9 - GAI in Medical Research and Drug Discovery. Chapter 10 - AI Agents Unlocking the Future of Gen AI for Healthcare. Chapter 11 - Where We Stand and Where We Dare to Go.
