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.
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