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Author:   Andrew J Hung, MD (Associate Professor of Urology & Computational Biomedicine, Vice Chair for Academic Development, Department of Urology, Cedars-Sinai Medical Center, Los Angeles, California)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.450kg
ISBN:  

9780443221323

ISBN 10:   0443221324
Pages:   320
Publication Date:   15 October 2024
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table 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

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Author Information

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.

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