The Pitt Health + Explainable AI (Pitt HexAI) Research Laboratory at the University of Pittsburgh, led by Ahmad P. Tafti, has a simple goal: to make healthcare better through the power of trustworthy and explainable artificial intelligence (AI). From a computational perspective, our research focuses on engineering, implementing, validating, and deploying cutting-edge fundamental and applied explainable AI algorithms, and promoting their applications in healthcare problems. We attempt to answer three main questions: 1) how advanced explainable AI strategies are developing in healthcare, 2) how they shape healthcare systems, and 3) how they impact the healthcare community. From a clinical perspective, our research agenda spans musculoskeletal (MSK) care, with a focus on our aging populations and sports-related injuries and conditions (e.g., ligament injuries, joint degeneration, and total joint arthroplasty) and computational orthopedics.

The Pitt HexAI Research Laboratory is functioning in the Department of Health Information Management at the School of Health and Rehabilitation Sciences. Our group at Pitt HexAI is a multidisciplinary team, and it benefits from several extramural collaborations with other academic institutions, nationwide and worldwide. Moreover, our group aims to provide the highest quality education and research experience in AI-powered health informatics at all levels, from K-12 to undergraduate, graduate, MD, and postdoctoral training.