Artificial Intelligence in Capsule Endoscopy 1st Edition

Artificial Intelligence in Capsule Endoscopy, 1st Edition by Miguel Mascarenhas, Helder Cardoso, Guilherme Macedo is an essential, forward-looking resource for clinicians, researchers, and trainees working at the intersection of gastroenterology and medical imaging. This practical guide unveils how artificial intelligence and deep learning are transforming capsule endoscopy—improving lesion detection, streamlining workflow, and elevating diagnostic accuracy across clinical settings.

Dive into clear, clinically oriented chapters that explain key AI concepts, algorithm development, and real-world applications of computer-aided detection for small-bowel and colon capsule studies. Rich with case-based insights and evidence-based discussion, the book helps readers translate complex machine-learning techniques into everyday practice: from image preprocessing to model validation, performance metrics, and ethical considerations for deployment in hospitals and clinics.

Whether you work in endoscopy units in Europe, North America, Asia-Pacific, or beyond, this book equips gastroenterologists, radiologists, and biomedical engineers with the tools to evaluate and adopt AI-driven capsule endoscopy solutions confidently. It balances technical rigor with practical recommendations, highlighting how AI can reduce reading times, enhance lesion recognition, and support multidisciplinary care pathways.

Forward-thinking and highly relevant to current clinical challenges, Artificial Intelligence in Capsule Endoscopy is the definitive handbook for anyone aiming to stay at the forefront of GI diagnostics. Add this landmark 1st Edition to your professional library—order now to bring cutting-edge AI insight into your practice and improve patient outcomes.

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