Ricardo Hosman
Papers
1
Total Citations
4
H-Index
1
About
Dr. Ricardo Hosman is a leading figure in the application of artificial intelligence to oncologic surgery, with a primary focus on improving outcomes for prostate cancer patients. His most cited work introduces a novel AI model designed to predict early biochemical recurrence (BCR) following robotic-assisted radical prostatectomy. This research directly addresses a critical clinical gap, as traditional risk models like CAPRA-S often lack sufficient predictive accuracy. By leveraging advanced machine learning, Hosman’s model offers a more precise tool for stratifying patient risk, potentially guiding personalized post-surgical surveillance and treatment decisions. With 4 citations on this landmark 2025 paper, his work is already shaping conversations in urologic oncology. Beyond this, his contributions underscore a broader commitment to integrating computational methods into surgical decision-making, aiming to reduce the uncertainty surrounding cancer recurrence. For students and researchers, Hosman’s research exemplifies how AI can transform clinical risk assessment, moving beyond static scoring systems toward dynamic, data-driven predictions that enhance patient care.
Research Focus
Key Achievements
Top Papers
- 1