Ryan Stidham

Ryan Stidham, M.D., M.Sc., is an Associate Professor at the University of Michigan Medical School with joint appointments in Computational Medicine & Bioinformatics, Internal Medicine (Gastroenterology & Hepatology), Radiology, and Biostatistics. His research integrates AI/ML, medical image analysis, and NLP to advance inflammatory bowel disease (IBD) diagnostics and management. Key focuses include automating endoscopic/imaging quantification, developing clinical decision tools, and enhancing clinical trials through data-driven approaches.

His work targets Crohn's disease and ulcerative colitis, emphasizing:

• Automated extraction of disease metrics from colonoscopy, CT, MRI, and ultrasound
• Novel biomarkers for inflammation/fibrosis using segmentation and transfer learning
• NLP pipelines for symptom quantification from clinical notes
• AI-enabled clinical trial optimization

Research is funded by NIH, DOD, NSF, and industry partnerships, with collaborations spanning the Department of Learning Health Sciences.

Recent publications (2024–2025) center on AI-driven endoscopic scoring, biomarker validation (e.g., CRP, MRI-based fibrosis markers), surgical risk prediction, and large language model applications for symptom analysis. Trends highlight rigorous validation of AI tools against clinical outcomes and emphasis on translational impact in IBD care.