Artificial Intelligence in Urology, An Issue of Urologic Clinics
- 1st Edition, Volume 51-1 - November 9, 2023
- Imprint: Elsevier
- Editor: Andrew J Hung
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 0 3 5 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 0 3 6 - 6
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.… Read more
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Request a sales quoteIn 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.
Urology
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Forthcoming Issues
- Foreword
- Preface
- The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics
- Key points
- Introduction
- Rationale for artificial intelligence in prostate cancer imaging
- Artificial intelligence for MRI prostate segmentation
- Artificial intelligence for prostate cancer detection and characterization
- Future directions
- Summary
- Clinics care points
- Disclosure
- Funding
- Artificial Intelligence and Pathomics: Prostate Cancer
- Key points
- Introduction
- Artificial intelligence pathomics in prostate cancer
- Implementation in the clinic: challenges and next steps
- Potential new directions and technologies
- Summary
- Disclosure
- Genomics and Artificial Intelligence: Prostate Cancer
- Key points
- Introduction
- Biology of prostate cancer
- Artificial intelligence in identification of genomic alteration signatures
- Artificial intelligence-based genomics in diagnosis of prostate cancer
- Artificial intellignce-based genomics in prognosis of prostate cancer
- Artificial intelligence-based genomics in the treatment of prostate cancer
- Summary
- Clinics care points
- Disclosures
- Funding/support
- Radiomics and Artificial Intelligence: Renal Cell Carcinoma
- Key points
- Introduction
- Discussion
- Summary
- Clinics care points
- Disclosure
- Artificial Intelligence in Pathomics and Genomics of Renal Cell Carcinoma
- Key points
- Introduction
- Artificial intelligence in renal cell carcinoma pathomics
- Artificial intelligence in renal cell carcinoma genomics
- The interaction between pathomics and genomics and the emergence of multiomics
- Challenges and future direction
- Summary
- Clinics care points
- Disclosures
- Funding/support
- Bladder Cancer and Artificial Intelligence: Emerging Applications
- Key points
- Introduction
- Artificial intelligence for bladder cancer detection: imaging analysis
- Artificial intelligence for bladder cancer diagnosis: grading, staging, and molecular biomarkers
- Artificial intelligence for bladder cancer treatment and outcome prediction
- Summary
- Disclosure
- Funding
- Surgical Artificial Intelligence: Endourology
- Key points
- Introduction
- Types of artificial intelligence
- Stone detection and characterization
- Kidney stone treatment outcomes
- Other uses of artificial intelligence in endourology
- Environmental impact of artificial intelligence
- Summary
- Artificial Intelligence in Pediatric Urology
- Key points
- Introduction
- Materials and methods
- Results
- Discussion
- Summary
- Clinics care points
- Funding source
- Surgical Artificial Intelligence in Urology: Educational Applications
- Key points
- Background
- Applications of artificial intelligence in urologic education
- Technical skills assessment
- Concerns and constraints
- Summary
- Clinics care points
- Disclosure
- Artificial Intelligence in Urology: Current Status and Future Perspectives
- Key points
- Introduction
- Machine learning
- Artificial neural network
- Computer vision and deep learning
- Convolutional neural network
- Natural language processing
- Summary
- Clinics care points
- Comprehensive Assessment of MRI-based Artificial Intelligence Frameworks Performance in the Detection, Segmentation, and Classification of Prostate Lesions Using Open-Source Databases
- Key points
- Introduction
- Methods
- Results
- Prostate-Diagnosis
- Discussion
- Summary
- Disclosure
- Conflicts of interest
- Edition: 1
- Volume: 51-1
- Published: November 9, 2023
- Imprint: Elsevier
- No. of pages: 240
- Language: English
- Hardback ISBN: 9780443130359
- eBook ISBN: 9780443130366
AH
Andrew J Hung
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.
Affiliations and expertise
Associate Professor of Urology & Computational Biomedicine, Vice Chair for Academic Development, Department of Urology, Cedars-Sinai Medical Center, Los Angeles, California