Andrey Bazarkin, Andrey Morozov, Alexander Androsov, Harun Fajkovic, Juan Gomez Rivas, Nirmish Singla, Svetlana Koroleva, Jeremy Yuen-Chun Teoh, Andrei V Zvyagin, Shahrokh François Shariat, Bhaskar Somani, Dmitry Enikeev
PURPOSE OF REVIEW: The aim of the systematic review is to assess AI's capabilities in the genetics of prostate cancer (PCa) and bladder cancer (BCa) to evaluate target groups for such analysis as well as to assess its prospects in daily practice. RECENT FINDINGS: In total, our analysis included 27 articles: 10 articles have reported on PCa and 17 on BCa, respectively. The AI algorithms added clinical value and demonstrated promising results in several fields, including cancer detection, assessment of cancer development risk, risk stratification in terms of survival and relapse, and prediction of response to a specific therapy...
January 2024: Current Urology Reports