Artificial Intelligence for Medicine 1st Edition

Artificial Intelligence for Medicine, 1st Edition by Shai Ben-David, Giuseppe Curigliano, David Koff, Barbara Alicja Jereczek-Fossa, Davide La Torre, Ga.

Discover a practical, authoritative guide that brings cutting-edge AI into everyday clinical practice. This 1st Edition blends rigorous theory with real-world medical applications, making complex topics like machine learning, deep learning, and predictive analytics accessible to physicians, radiologists, oncologists, data scientists, and healthcare leaders. Clear explanations, clinical case examples, and evidence-based insights help readers translate algorithms into safer, more effective patient care.

Inside you’ll find approachable chapters on medical imaging, diagnostics, prognostic modeling, and ethical considerations—each written to support decision-making in busy hospitals and research centers across North America, Europe, Asia, and beyond. Whether you’re implementing AI-driven workflows in a large medical center or evaluating new clinical tools in private practice, this book equips you with the knowledge to assess models, interpret outputs, and understand limitations.

Why this edition matters: concise expert authorship, clinically focused examples, and a balanced view of opportunities and risks. Ideal for postgraduate trainees, practicing clinicians, healthcare administrators, and interdisciplinary teams collaborating on AI projects. Improve diagnostic accuracy, streamline workflows, and make informed choices about integrating AI technologies into patient care.

Bring tomorrow’s medical intelligence into your hands today. Order Artificial Intelligence for Medicine, 1st Edition now to stay ahead in the evolving landscape of medical AI and deliver better outcomes for patients globally.

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