An artificial intelligence-based model developed by our Chair Aman Mahajan, MD, PhD, MBA, with Oscar C. Marroquin, MD, FACC (UPMC Chief Health Care Data and Analytics Officer and Associate Professor of Medicine, Epidemiology, and Clinical and Translational Science at Pitt) and other Pitt/UPMC researchers was featured in a news release and several news articles. The technology uses machine learning to create and deploy an accurate and flexible model to predict patients who are at high-risk for complications after surgery. The research was recently published in the journal JAMA Network Open.
- Pitt and UPMC Researchers Create Machine Learning Model that Accurately Identifies High-Risk Surgical Patients (UPMC News Release)
- University of Pittsburgh and UPMC Researchers Use Machine Learning for High-risk Surgical Patient Predictor (The Business Journals)
- UPMC Algorithm Predicts Post-Surgical Complications Better Than the Industry Standard, Study Shows (MedCity News)
- University of Pittsburgh and UPMC Researchers Use Machine Learning for High-Risk Surgical Patient Predictor (Pittsburgh Inno)
- The Confluence, podcast, 90.5 WESA (Pittsburgh, NPR station), July 12, 2023 episode (cue to 14:20 to hear interview with Dr. Mahajan)