Carlos David
Papers
1
Total Citations
4
H-Index
1
About
Dr. Carlos David is at the forefront of integrating artificial intelligence into 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) after robotic-assisted radical prostatectomy—a critical challenge in urologic oncology. By leveraging machine learning algorithms on clinical and pathological data, Dr. David’s model outperforms traditional tools like CAPRA-S, offering more precise risk stratification that can guide adjuvant therapy decisions and surveillance strategies. This contribution has already garnered attention, with 4 citations in its first year, signaling its growing influence. Beyond this flagship study, Dr. David’s research portfolio spans the application of predictive analytics to surgical decision-making, aiming to personalize treatment and reduce recurrence rates. His work bridges the gap between data science and clinical practice, empowering surgeons with actionable insights. For students and researchers, Dr. David exemplifies how computational methods can transform patient care, making his profile a compelling case study in the future of precision oncology.
Research Focus
Key Achievements
Top Papers
- 1