Artificial Intelligence Research
Artificial intelligence (AI) has the potential to revolutionize biomedical research, health care, and education. UT Southwestern is dedicated to using research to bridge the gap between new AI technologies and current health care and research needs.
Research Highlights
Combining artificial intelligence with imaging analysis, Yang Xie, Ph.D., Associate Dean for Data Sciences, is finding new ways to formulate personalized treatment strategies for non-small cell lung cancer patients. The technique efficiently distinguishes lung cancers likely to respond to specific treatments, guiding the selection of more effective therapeutic approaches.
The Medical Artificial Intelligence and Automation (MAIA) Lab is dedicated to developing and deploying advanced AI technologies that address real clinical problems and improve patient care. The team focuses on creating AI solutions that can be translated directly into safe and effective tools for everyday use in radiation oncology and many other clinical settings. The collaborative nature of the MAIA Lab allows it to support multidisciplinary research and education, bringing together researchers, clinicians, and industry partners to jointly harness AI to improve healthcare.
Dr. Jamieson, an Assistant Professor in the Lyda Hill Department of Bioinformatics, is reimagining how future physicians are trained using cutting-edge AI to model, evaluate, and enhance the human elements of clinical care. His lab builds advanced AI models that integrate video, audio, and text data to identify behavioral and linguistic markers of effective communication and diagnostic reasoning and convert them into useful, real-time feedback to trainees.
Campus Stories and Blogs
Latest News Releases
AI Funding
UT- REAL-Health-AI
The UT Research, Engineering, and Application Laboratory for Healthcare Artificial Intelligence (UT- REAL-Health-AI) is seeking motivated applicants working on AI projects to improve patient care, operations, and collaboration in the UT System for the UT-REAL Pilot Award Program.
Application Deadline: Jan. 10, 2026
NAIRR Pilot Deep Partnerships
The National Artificial Intelligence Research Resource Pilot is seeking applications for 'Deep Partnership' proposals leveraging state of the art models for health, molecular and materials discovery. The NAIRR Pilot aims to connect U.S. researchers and educators to computational, data, and training resources needed to advance AI research and research that uses AI.
Resources
The Lyda Hill Department of Bioinformatics seeks to provide the innovative analytic approaches needed to understand complex data. Our Department is home to theoreticians and experimentalists alike, who share a passion for the scientific exploration of uncharted territory in biomedicine through mathematical formalism and computation.
BioHPC at UT Southwestern provides a comprehensive, cloud-based platform that enables researchers to perform advanced computational work.
The BioHPC development team supports users at every level, handling infrastructure growth, system maintenance, and direct collaboration on computational projects. Our mission is to lower the barriers to high-performance computing and empower all UTSW researchers to efficiently analyze complex data and accelerate discovery.
As one of the largest state-of-the-art simulation facilities in the nation, UT Southwestern Medical Center’s Simulation Center creates real-life environments through cutting-edge technologies, including artificial intelligence and virtual reality to to expand the scope and quality of its training programs for medical students, residents, health care providers and other learners.
The Innovation Hub works to turn groundbreaking research from UTSW clinicians and scientists into sustainable companies. Our aim is to act as a bridge between groundbreaking scientific research and real-world patient solutions.