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Generative AI for Healthcare: From Foundation Models to Clinical Integration
Hardcover
Technology & EngineeringGeneral Computers
ISBN13: 9789819239078
Publisher: Springer
Published: Feb 24 2027
Pages: 315
Language: English
As generative artificial intelligence (AI) and foundation models rapidly transform healthcare, bridging the gap between algorithmic innovation and safe clinical integration has never been more critical. Generative AI for Healthcare provides a comprehensive, end-to-end guide to the next generation of AI in medicine and healthcare. Moving beyond traditional predictive analytics, this textbook explores how modern generative AI technology including large language models (LLMs), multimodality foundation models, and agentic frameworks are redefining clinical workflows, from automated medical documentation to personalized patient care.
Designed for data scientists, clinical informaticians, and medical researchers, the book systematically unpacks the transition from classical machine learning to state-of-the-art generative paradigms. Readers will explore the mechanics of deep learning architectures applied directly to complex healthcare data modalities like semi-structured Electronic Health Records (EHR), medical imaging, and continuous physiological signals. Crucially, the textbook emphasizes real-world application, offering actionable insights into clinical operations, workflow integration, regulatory frameworks, and the ethical deployment of AI to mitigate bias and data drift in live hospital environments and beyond.
By synthesizing technical rigor with clinical utility, this textbook equips readers with the practical skills to evaluate, deploy, and scale AI innovations that tangibly improve patient care. While a foundational understanding of basic statistics and healthcare data structures is recommended, the book's intuitive framework, pairing technical concepts directly with concrete clinical input-to-output examples, makes advanced AI accessible. It is the essential blueprint for professionals preparing to lead the future of generative AI in healthcare.
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