Diagnosing Musculoskeletal Conditions using Artifical Intelligence and Machine Learning to Aid Interpretation of Clinical Imaging 1st Edition

Diagnosing Musculoskeletal Conditions using Artificial Intelligence and Machine Learning to Aid Interpretation of Clinical Imaging (1st Edition) is a practical, forward-looking guide for clinicians, radiologists, orthopedic surgeons, physiotherapists, and medical researchers seeking to harness AI and ML in musculoskeletal imaging. Authored by Rakesh Kumar, Meenu Gupta, Ajith Abraham, and Paul Antony, this book bridges clinical expertise and computational innovation to improve diagnostic accuracy and workflow efficiency.

Begin with clear, real-world case studies that capture attention: X‑rays, MRI, and CT scans interpreted alongside AI-driven tools reveal patterns often missed by the eye. The text then dives into accessible explanations of machine learning models, data preparation, image segmentation, and validation strategies—explained for clinicians without a deep programming background. Emphasis on interpretability and ethical considerations ensures safe adoption in hospital and outpatient settings.

Readers will find actionable insights: protocols to integrate AI into daily practice, tips for collaborating with data scientists, and guidance on evaluating algorithm performance across diverse populations. The book highlights global applicability, with examples relevant to healthcare systems in the United States, Europe, India, and beyond, making it a valuable reference for international teams.

Whether you’re updating departmental protocols, teaching trainees, or leading research initiatives, this edition empowers you to translate AI advances into better patient care, faster diagnosis, and reduced diagnostic variability. Concise, authoritative, and clinically focused—this is the essential resource for anyone aiming to modernize musculoskeletal imaging practice with AI and machine learning. Add it to your professional library and start transforming diagnostic interpretation today.

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