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.
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Copyright - p. ii 5. Contributors - p. iii 6. Forthcoming Issues - p. x 7. Foreword - p. xi 8. Preface - p. xiii 9. The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics - p. 1 10. Artificial Intelligence and Pathomics: Prostate Cancer - p. 15 11. Genomics and Artificial Intelligence: Prostate Cancer - p. 27 12. Radiomics and Artificial Intelligence: Renal Cell Carcinoma - p. 35 13. Artificial Intelligence in Pathomics and Genomics of Renal Cell Carcinoma - p. 47 14. Bladder Cancer and Artificial Intelligence: Emerging Applications - p. 63 15. Surgical Artificial Intelligence: Endourology - p. 77 16. Artificial Intelligence in Pediatric Urology - p. 91 17. Surgical Artificial Intelligence in Urology: Educational Applications - p. 105 18. Artificial Intelligence in Urology: Current Status and Future Perspectives - p. 117 19. Comprehensive Assessment of MRI-based Artificial Intelligence Frameworks Performance in the Detection, Segmentation, and Classification of Prostate Lesions Using Open-Source Databases - p. 131
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.
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Copyright - p. ii 5. Contributors - p. iii 6. Forthcoming Issues - p. x 7. Foreword - p. xi 8. Preface - p. xiii 9. The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics - p. 1 10. Artificial Intelligence and Pathomics: Prostate Cancer - p. 15 11. Genomics and Artificial Intelligence: Prostate Cancer - p. 27 12. Radiomics and Artificial Intelligence: Renal Cell Carcinoma - p. 35 13. Artificial Intelligence in Pathomics and Genomics of Renal Cell Carcinoma - p. 47 14. Bladder Cancer and Artificial Intelligence: Emerging Applications - p. 63 15. Surgical Artificial Intelligence: Endourology - p. 77 16. Artificial Intelligence in Pediatric Urology - p. 91 17. Surgical Artificial Intelligence in Urology: Educational Applications - p. 105 18. Artificial Intelligence in Urology: Current Status and Future Perspectives - p. 117 19. Comprehensive Assessment of MRI-based Artificial Intelligence Frameworks Performance in the Detection, Segmentation, and Classification of Prostate Lesions Using Open-Source Databases - p. 131
