Artificial Intelligence in Urology

Artificial Intelligence in Urology by Andrew J. Hung delivers a timely, practical exploration of how AI is reshaping urologic care. This compelling resource opens with clear, engaging context about the rise of AI in medicine, immediately drawing clinicians, trainees, and health leaders into the conversation.

Inside, readers will find accessible explanations of core technologies—machine learning, deep learning, natural language processing—and how they apply to urology: medical imaging interpretation, predictive analytics for prostate and bladder cancer, perioperative risk stratification, and robotic-assisted surgery workflows. The text balances technical clarity with clinical relevance, translating algorithmic concepts into actionable insights for urologists, radiologists, and multidisciplinary teams.

What sets this book apart is its focus on real-world impact: improving diagnostic accuracy, optimizing patient pathways, and supporting precision medicine across settings from academic centers to community hospitals. It also addresses regulatory, ethical, and implementation challenges so teams in North America, Europe, and the Asia-Pacific region can deploy AI responsibly and effectively.

Whether you are a practicing urologist, resident, researcher, or healthcare administrator, this volume equips you with the knowledge to evaluate AI tools, collaborate with data scientists, and lead adoption initiatives. Concise case discussions and forward-looking perspectives make it both a practical reference and a strategic guide for the future of urologic care.

For professionals seeking a comprehensive, well-written road map to AI in urology, Artificial Intelligence in Urology by Andrew J. Hung is an essential addition to your library—bridging innovation and everyday clinical practice.

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