Artificial Intelligence in e-Health Framework, Volume 2

Artificial Intelligence in e-Health Framework, Volume 2 by Sudip Paul and Jasjit S. Suri is an essential read for professionals shaping the future of healthcare. This authoritative volume blends cutting-edge research and practical frameworks to show how AI in e-health can transform diagnostics, remote monitoring, clinical workflow, and population health across diverse healthcare systems.

Start here to understand the latest methodologies: the book clearly explains scalable architectures, machine learning pipelines, and ethical design principles that make AI deployments safe, effective, and patient-centered. Written for clinicians, health IT leaders, data scientists, and policy makers, the text balances technical depth with real-world applicability—making complex concepts accessible without sacrificing rigor.

Discover regionally relevant insights and global perspectives: contributors highlight applications for hospitals and community health programs in North America, Europe, India, and beyond, helping readers adapt e-health frameworks to local regulations and infrastructure. Case studies and implementation strategies focus on measurable outcomes—improving care quality, reducing costs, and enhancing access for underserved populations.

Whether you’re evaluating AI strategies or leading digital transformation, this volume empowers decision-makers with practical tools, evaluation metrics, and deployment checklists. Authored by respected experts Sudip Paul and Jasjit S. Suri, it stands out as a forward-looking reference that bridges research and practice.

Secure your copy today to advance your understanding of Artificial Intelligence in e-Health Framework—and lead the next wave of intelligent, equitable healthcare solutions.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.