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Artificial Intelligence in Urology, An Issue of Urologic Clinics

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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 Health Sciences
Imprint:   Churchill Livingstone
Weight:   0.540kg
ISBN:  

9780443130359

ISBN 10:   0443130353
Pages:   240
Publication Date:   09 November 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics Artificial Intelligence and Pathomics: Prostate Cancer Genomics and Artificial Intelligence: Prostate Cancer Radiomics and Artificial Intelligence: Renal Cell Carcinoma Artificial Intelligence in Pathomics and Genomics of Renal Cell Carcinoma Bladder Cancer and Artificial Intelligence: Emerging Applications Surgical Artificial Intelligence: Endourology Artificial Intelligence in Pediatric Urology Surgical Artificial Intelligence in Urology: Educational Applications Artificial Intelligence in Urology: Current Status and Future Perspectives Comprehensive Assessment of MRI-based Artificial Intelligence Frameworks Performance in the Detection, Segmentation, and Classification of Prostate Lesions Using Open-Source Databases

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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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