Challenges for Urologic Research: "Robotics, Artificial Intelligence & Machine Learning” (2020)
Available on Saturday, July 11
Robotics, artificial intelligence and machine learning are playing increasingly important roles in research and clinical practice. This webcast is designed to review current applications of these technologies, describe the underlying science and engineering that make these tools possible, and explore how they will drive future innovations in urology.
Registration Fees
Member Category |
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AUA Member | Free |
AUA Non-Member | $29.00 |
Presentations
Welcome and Opening Remarks | Craig Niederberger, MD, FACS |
Session One: Robotics | Moderator: James M. Hotaling, MD, MS, FECSM |
Surgical Robots: A Platform for Enhancing Skill Assessment and Potential to Improve Performance | Ann Majewicz Fey, PhD |
Haptics and Augmented Reality | Cristian Luciano, PhD |
Microfluidic Sperm Sorting: A Case Study in the Power of Micromachines | James M. Hotaling, MD, MS, FECSM |
Session Two: Artificial Intelligence (AI) | Moderator: Daniel Moreira, MD |
Introduction to Artificial Intelligence | Richard M. Golden, PhD, MSEE, BSEE |
Artificial Intelligence in Medical Education | Daniel Moreira, MD |
Natural Language Processing for Clinical Research | Martin N. Kathrins, MD |
Session Three: Machine Learning | Moderator: Craig Niederberger, MD, FACS |
Machine Learning in Pathology | Peter Gann, MD, ScD |
Artificial Intelligence and Computational Imaging for Precision Medicine of Prostate Cancer | Anant Madabhushi, PhD |