Smarter Healthcare through Generative Intelligence

Generative artificial intelligence (AI) has potential to improve healthcare because it can enable smarter, more efficient solutions across diagnostics, treatment, and patient care. By analyzing vast amounts of medical data, generative AI systems can identify patterns, predict disease progression, and assist in early diagnosis with remarkable accuracy. It enhances personalized medicine by generating tailored treatment plans based on individual patient profiles, including genetic, lifestyle, and clinical data.

Smarter Healthcare Through Generative Intelligence examines the convergence of healthcare and intelligent computation and how it is reshaping the global healthcare landscape. Focusing on applications and management issues, it looks at generative models, privacy-aware distributed computing, smart sensing technologies, and policy frameworks. From data augmentation to drug discovery and from mental health assessment to intelligent patient
communication, the book explores the ways generative AI can transform healthcare.

Highlights include:

• Fog computing for smart healthcare
• Leveraging generative intelligence to overcome dataset limitations in emotional well-being analysis
• Ethical considerations in AI-driven smart healthcare
• Designing intelligent chatbots for healthcare

Generative AI is transforming healthcare into a more proactive, precise, and patient-centered industry. Written for healthcare practitioners, researchers, policymakers, and technologists, this book is a guide on how they can design, adopt, and govern generative technologies for smarter healthcare.