AI and Machine Learning Projects

AI and Machine Learning in the Surgical Innovation Center

A major focus of the center is in harnessing the massive quantities of healthcare data to develop predictive models that can be used for individualized patient care and for supporting clinical decision-making. We focus on developing algorithms that can accurately and in an automated fashion interpret imaging studies, and using AI/ML and natural language processing to accurately and rapidly extract data from the electronic health record. Our team is actively involved in research and educational efforts to help increase the understanding of improving clinical outcomes through the implementation of  AI ML and NLP.

Current Projects: the Next Step in Advancing Care through AI and ML

2024 Surgical Innovation Center Award Winners

• Good Planning for Better Scanning: Evaluation of Pediatric Blunt Abdominal Trauma - Christian Streck, M.D.
• Incidence of Thoracic Aortic Aneurysms and Neurogenic Hypertension in PTSD Patients - Jeffrey Jones, Ph.D., Sanford Zeigler, M.D. and Heather Holman, M.D., Ph.D. candidate
• Rescuing non-responders after bariatric surgery in an adolescent and young adult population - Aaron Lesher, M.D., MSCR
• Utility of Visceral Adiposity on Abdominal CT for Prediction of Bariatric Surgery Outcomes - Mary Kate Bryant, M.D. MSCR

2025 Surgical Innovation Center Award Recipients To Be Announced June 2025