Lisa Patterson

Papers

Total Citations

103

H-Index

About

Dr. Lisa Patterson is a leading researcher in urologic oncology and surgical outcomes, with a particular focus on integrating artificial intelligence into clinical decision-making for prostate cancer. Her most influential work, "Use of machine learning to predict early biochemical recurrence after robot‐assisted prostatectomy" (2018, 103 citations), pioneered the application of machine-learning algorithms to forecast disease progression following robotic surgery. By comparing these novel computational models with traditional regression analysis using a dataset of 338 patients, Dr. Patterson demonstrated that AI-driven approaches can significantly improve the accuracy of predicting early biochemical recurrence—a critical endpoint in prostate cancer management. This landmark study has shaped how surgeons and oncologists assess postoperative risk, enabling more personalized surveillance and treatment strategies. Her contributions bridge the gap between data science and clinical practice, offering tangible tools to enhance patient outcomes. With over 100 citations on this work alone, Dr. Patterson’s research continues to influence the fields of surgical oncology and predictive analytics, making her a key figure in the evolution of precision medicine for prostate cancer.