
Gastroenterology, Internal Medicine
Ann Arbor, Michigan, United States of America
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Dr. Ryan Stidham is an academic gastroenterologist specializing in medical image analysis for Crohn’s disease, ulcerative colitis, inflammatory bowel diseases (IBD), and gastroenterology conditions at large. His research is focused on developing new measures of disease activity to power automated care models and clinical decision support systems in IBD with a focus on medical image analysis and new technology development. His work has focused on the automation of existing IBD disease measures that rely on colonoscopy, CT, MRI, and ultrasound using neural networks and novel image analysis approaches.
Dr. Stidham is also developing new measures of disease activity, inflammation, and fibrosis that leverage advances in image segmentation, transfer learning, signals analysis, and fuzzy network approaches as well as collaborating for the development of new image acquisition modalities. Finally, his team has active projects in collaboration with the Department of Learning Health Sciences for merging data from clinical office notes with imaging data using computational linguistics approaches. His work has been supported by the NIH, DOD, NSF, and several large investigator-initiated industry collaborations.