Artificial Intelligence in Urology

Present and Future
Herausgeber: Hung, Andrew J

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 320
• Erscheinungstermin: 15. Oktober 2024
• Englisch
• Abmessung: 234mm x 188mm x 20mm
• Gewicht: 599g
• ISBN-13: 9780443221323
• ISBN-10: 0443221324
• Artikelnr.: 70468776

Inhaltsangabe

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