Artificial Intelligence in Urology, An Issue of Urologic Clinics The Clinics: Surgery Series

In this issue of Urologic Clinics of North America, guest editor Dr. Andrew J. Hung brings his considerable expertise to the topic of Artificial Intelligence in Urology. Alongside technological advancements in artificial intelligence (AI), applications of AI in urology have grown tremendously over the last few years. This special issue highlights areas of particular interest, such as radiomics, pathomics, genomics, and surgery. Top experts in the field cover the current status and also preview future applications, aimed at improved patient outcomes.

• Contains 13 relevant, practice-oriented topics including radiomics, pathomics, and surgical AI; genomics and AI: prostate cancer and renal cell carcinoma; pediatric urology and AI; bladder cancer and AI; AI in urology: big data sets; and more.
• Provides in-depth clinical reviews on artificial intelligence in urology, offering actionable insights for clinical practice.
• Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

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

Dr. 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 harness 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.