AI for Radiology 1st Edition

Capture the future of medical imaging with AI for Radiology, 1st Edition by Oge Marques — a concise, authoritative guide designed for radiologists, clinicians, healthcare leaders, and medical imaging professionals worldwide.

Start with clear explanations of how artificial intelligence and deep learning are reshaping radiology practice: from automated image interpretation and lesion detection to workflow optimization and decision support. The book demystifies core concepts — machine learning models, convolutional neural networks, segmentation, and performance validation — translating technical detail into clinically relevant insights that radiologists and imaging teams can apply right away.

Practical examples and real-world applications give readers a tangible sense of impact: faster diagnostic turnaround, improved detection sensitivity, and streamlined radiology workflows that enhance patient care in hospitals and outpatient clinics across North America, Europe, Asia-Pacific, and beyond. Coverage of regulatory, ethical, and quality-assurance considerations helps teams implement AI responsibly within diverse healthcare systems.

Make this resource your roadmap for integrating AI into everyday radiology practice. Whether you’re a practicing radiologist, a resident, a medical physicist, or a healthcare administrator, this edition equips you with the knowledge to evaluate AI tools, collaborate with data scientists, and lead innovation in medical imaging.

For professionals and institutions seeking a practical, globally relevant reference on artificial intelligence in radiology, AI for Radiology, 1st Edition by Oge Marques is an essential addition to your library — a bridge from technology to better patient outcomes.

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