Artificial Intelligence in Pathology 2nd Edition

Grab the future of diagnostics with Artificial Intelligence in Pathology 2nd Edition by Stanley Cohen and Chhavi Chauhan — a definitive, up-to-date guide that bridges cutting-edge AI research and everyday clinical practice. This authoritative edition maps the rapid evolution of digital pathology, machine learning, deep learning, and whole-slide imaging into practical strategies for improving diagnostic accuracy and workflow efficiency.

Inside you’ll find clear explanations of core algorithms, real-world case studies, validation and reproducibility best practices, interpretability techniques, and considerations for regulatory compliance and ethical deployment. The book balances technical depth with clinical relevance, making complex topics accessible to pathologists, laboratory directors, biomedical researchers, and health informatics teams.

Why this edition matters: it synthesizes recent advances in computational pathology, data management, and integrated diagnostics, showing how AI-powered tools can enhance tumor detection, quantification, and prognostic modeling. Practical chapters include implementation roadmaps, performance evaluation metrics, and tips for collaborative deployment across multidisciplinary teams.

Ideal for professionals and students worldwide — from the United States and Europe to India and beyond — this resource supports clinicians and researchers seeking actionable insights to adopt AI responsibly in their labs and institutions. Whether you’re upgrading departmental systems or building a research program, this book delivers the knowledge to translate algorithms into better patient outcomes.

Ready to lead in modern pathology? Choose Artificial Intelligence in Pathology 2nd Edition by Stanley Cohen and Chhavi Chauhan — a practical, forward-looking companion for the AI-empowered pathologist. Order your copy today.

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