Sanjay Purushotham
University of Maryland, Baltimore, University of Maryland, Baltimore County
Papers
2
Total Citations
146
H-Index
2
About
Dr. Sanjay Purushotham is a leading researcher at the intersection of artificial intelligence and healthcare, with a primary focus on deep learning applications for surgical outcomes and medical image analysis. His most impactful contribution is the development of a deep-learning model that integrates automated performance metrics (APMs) from robotic surgery with clinical features to predict urinary continence recovery after robot-assisted radical prostatectomy. This pioneering work, cited 144 times, demonstrates how AI can transform postoperative care by enabling personalized recovery predictions and evaluating surgeon performance. In the domain of computer vision, Dr. Purushotham has advanced online continuous semantic segmentation frameworks that minimize labeling efforts through domain adaptation, addressing the critical challenge of dataset imbalance in realistic segmentation tasks. His research bridges the gap between surgical robotics and machine learning, offering practical solutions for reducing annotation burdens while maintaining high model accuracy. Through these contributions, Dr. Purushotham is shaping the future of precision medicine and automated surgical analytics, making him a notable figure in the growing field of AI-driven clinical decision support.
Research Focus
Key Achievements
Top Papers
- 1
- 2