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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.
List of contents
1. Introduction
2. What is AI: terminologies explained What is artificial intelligence, machine learning, and deep learning: terminologies explained
3. Prostate cancer diagnosis using artificial intelligence methods-radiomics
4. Advancing prostate cancer diagnosis and treatment through pathomics and artificial intelligence
5. Prostate cancer diagnosis using artificial intelligence methods-genomics
6. Kidney cancer diagnostics using AI and radiomics....
7. Renal cell carcinoma therapeutics guided by artificial intelligence methods
8. Bladder cancer diagnosis with pathomics and AI
9. Bladder cancer treatment with artificial intelligence
10. Other genitourinary cancers and AI (penile, urethra, and testes)
11. Artificial intelligence applications in kidney stone disease
12. Pediatric urology and AI
13. Multi-omics in urologic cancers
14. AI in surgery
15. State-of-art and the future of autonomous surgery
16. Reproductive medicine and AI
17. Future directions for AI in urology
About the author
Dr. Andrew J. Hung is an expert in robotic, laparoscopic, and traditional open surgery for diseases of the adrenal, kidney, ureter, bladder, and prostate. He is a recognized leader in the validation and development of innovative surgical simulation technologies. To train the next generation of urologic surgeons, he developed the first-ever procedure-specific simulation for robotic surgery. Supported by both industry and the National Institutes of Health, Dr. Hung has also become a leading innovator in the development of automated performance metrics for robotic surgery. His collaboration with data scientists has harnessed machine learning algorithms to better predict robotic surgical outcomes. Dr. Hung has produced several first-author and senior-author papers on surgical assessment and training in leading journals and is a regular peer-reviewer for leading urologic journals. He currently serves as the first Consulting Editor on Artificial Intelligence for the British Journal of Urology International.
