Applications of Artificial Intelligence in Healthcare and Biomedicine 1st Edition

Grab the definitive guide that bridges cutting-edge technology and patient care. Applications of Artificial Intelligence in Healthcare and Biomedicine, 1st Edition by Abdulhamit Subasi delivers a clear, practical roadmap to how AI is reshaping diagnostics, treatment planning, and biomedical research.

This expertly written volume walks readers through core AI methods—machine learning, deep learning, signal processing and predictive analytics—and shows how they apply to medical imaging, bioinformatics, wearable sensors, electronic health records, and clinical decision support. Real-world examples and case studies illuminate how algorithms improve diagnostic accuracy, enable personalized medicine, and streamline hospital workflows while addressing challenges like data quality, model validation, and ethical considerations.

Ideal for clinicians, biomedical engineers, data scientists, researchers, and healthcare executives, this book balances technical depth with clinical relevance. You’ll gain actionable insights into model evaluation, deployment strategies, and regulatory awareness that are essential for implementing AI solutions in hospitals, research labs, and health-tech startups across the US, Europe, Asia and beyond.

Readable yet rigorous, the text supports both academic study and practical adoption, making it a valuable reference for courses, interdisciplinary teams, and professional development. Whether you’re investigating AI-driven imaging tools, exploring predictive risk models, or preparing to integrate decision support systems into practice, this book equips you with the knowledge to lead innovation responsibly.

Bring the future of medicine into your hands—order Applications of Artificial Intelligence in Healthcare and Biomedicine by Abdulhamit Subasi and start transforming data into better patient outcomes today.

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