Artificial Intelligence for Bone Disorder 1st Edition

Grab the future of orthopedics with Artificial Intelligence for Bone Disorder, 1st Edition — a definitive, practice-focused guide by Rishabha Malviya, Shivam Rajput, and Makarand Vaidya. This accessible yet authoritative volume connects cutting-edge AI techniques with real-world diagnosis and management of bone disorders, making it essential for clinicians, researchers, and biomedical engineers.

Discover clear explanations of machine learning and deep learning applied to musculoskeletal imaging, predictive modeling for fracture risk, automated segmentation, and clinical decision-support systems. Richly illustrated case discussions and workflow examples demonstrate how AI tools enhance accuracy, speed, and patient outcomes in orthopedics and radiology. The book also addresses data curation, model validation, regulatory considerations, and ethical use—helping teams translate research into safe, scalable clinical practice.

Designed for readers across India and around the world, this book balances technical depth with practical guidance. Whether you’re an orthopedic surgeon seeking smarter diagnostics, a radiologist optimizing image analysis, a researcher developing predictive models, or a postgraduate student building expertise in AI in healthcare, you’ll find actionable frameworks and best practices to implement immediately.

Concise, contemporary, and clinically relevant, Artificial Intelligence for Bone Disorder is the bridge between theory and practice—an indispensable resource for hospitals, academic departments, and innovation labs aiming to improve musculoskeletal care. Order your copy today and equip your team with the knowledge to harness AI responsibly and effectively in bone disorder management.

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