Mahdieh Kazemimoghadam, Ph.D., is an Instructor at UT Southwestern in the Division of Medical Physics and Bioengineering specializing in machine learning, deep learning, and artificial intelligence-based algorithms to improve patient care and to accommodate automating clinical workflow.

Dr. Kazemimoghadam earned her doctorate degree from UT Dallas. Following graduation, she started a postdoctoral research position at UT Southwestern in the Medical Artificial Intelligence and Automation Lab (MAIA). Her research interests include medical image segmentation, deep learning in healthcare, and integrating artificial intelligence into clinical workflow.

Research Interest

  • Artificial intelligence in medicine
  • Deep learning and predictive models
  • Medical image segmentation

Professional Associations/Affiliations

  • American Association of Physicists in Medicine (2020)