Virtual "Matchmaking": Stakeholder Perspectives on the Future of the Urology Residency Match.

Objective: To examine stakeholder perspectives regarding the lack of in-person externships and transition to a virtual urology residency interview format. The unprecedented disruption from the COVID-19 pandemic forced an abrupt pivot to a "virtual" Urology Match for the 2021 cycle. We aim for our study to inform ongoing deliberations on the future of the Urology Match.

Clinical applications of artificial intelligence in urologic oncology.

Purpose Of Review: This review aims to shed light on recent applications of artificial intelligence in urologic oncology.

Recent Findings: Artificial intelligence algorithms harness the wealth of patient data to assist in diagnosing, staging, treating, and monitoring genitourinary malignancies. Successful applications of artificial intelligence in urologic oncology include interpreting diagnostic imaging, pathology, and genomic annotations.