Artificial Intelligence in Urology: Present and Future summarizes the cutting-edge development and adoption of Artificial Intelligence (AI) technologies in urology. The book explores barriers that prevent the further adoption of AI technologies, provides ethical considerations, and investigates the future role AI is expected to play. In addition, it includes applications of AI technology in the diagnosis and treatment of cancers (prostate, bladder, and more) and kidney stones, and in both adult and pediatric care. This is the perfect reference for researchers developing AI technologies for clinical applications and for clinicians who aim to effectively adopt AI technologies to solve clinical questions.
- Describes the state-of-the-art of AI applications in urology by leading experts in the field
- Provides a comprehensive review of how different strategies in AI are utilized to solve a wide range of clinical problems-from diagnosis, treatment, and prognostication of urologic diseases
- Comprises contents that can be used as a springboard to allow readers to adopt AI technologies in their field of study/practice
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ISBN-13
978-0-443-22131-6 (9780443221316)
Schweitzer Klassifikation
1. Introduction2. What is AI: terminologies explained What is artificial intelligence, machine learning, and deep learning: terminologies explained3. Prostate cancer diagnosis using artificial intelligence methods-radiomics 4. Advancing prostate cancer diagnosis and treatment through pathomics and artificial intelligence5. Prostate cancer diagnosis using artificial intelligence methods-genomics6. Kidney cancer diagnostics using AI and radiomics....7. Renal cell carcinoma therapeutics guided by artificial intelligence methods8. Bladder cancer diagnosis with pathomics and AI9. Bladder cancer treatment with artificial intelligence10. Other genitourinary cancers and AI (penile, urethra, and testes) 11. Artificial intelligence applications in kidney stone disease12. Pediatric urology and AI13. Multi-omics in urologic cancers14. AI in surgery15. State-of-art and the future of autonomous surgery16. Reproductive medicine and AI17. Future directions for AI in urology