Artificial Intelligence in Biomedical and Modern Healthcare Informatics 1st Edition

Capture the future of medicine with Artificial Intelligence in Biomedical and Modern Healthcare Informatics, 1st Edition — a comprehensive guide from M. A. Ansari, R.S. Anand, Pragati Tripathi, Rajat Mehrotra, and Belal Bin Heyat. This authoritative text brings cutting-edge AI concepts into practical view for clinicians, engineers, data scientists, and healthcare leaders.

Explore clear, well-organized chapters that bridge theory and practice: machine learning and deep learning in medical imaging, natural language processing for electronic health records, predictive analytics for population health, wearable and sensor data integration, genomics-driven decision making, and clinical decision support systems. The book also addresses essential topics of data privacy, interoperability, validation, and regulatory considerations—critical for real-world deployment across hospitals and research centers.

Written with both depth and accessibility, the book pairs rigorous explanations of algorithms with real-world case studies and implementation strategies, making it ideal for postgraduate students, biomedical engineers, health informaticians, and policy makers. Whether you’re developing AI models, evaluating clinical tools, or planning digital transformation in healthcare organizations, this volume delivers actionable insight.

Relevant to healthcare systems worldwide — including India, Asia-Pacific, Europe, and North America — the text supports professionals navigating local regulation, clinical workflows, and population health challenges. Its practical orientation helps teams move from pilot projects to scalable solutions that enhance diagnostics, optimize workflows, and improve patient outcomes.

Ready to lead in modern healthcare? Add Artificial Intelligence in Biomedical and Modern Healthcare Informatics, 1st Edition to your professional library and start turning AI potential into measurable clinical impact.

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