Philadelphia, May 10, 2022 – Using an artificial intelligence (AI) tool that emulates how humans visualize and is trained to recognize and classify images, investigators constructed a model that predicts the postoperative recurrence of Crohn disease with high accuracy by evaluating histological images. The AI tool also revealed previously unrecognized differences in adipose cells and significant differences in the extent of mast cell infiltration in the subserosa, or outer lining of the intestine, comparing patients with and without disease recurrence. The findings appear in The American Journal of Pathology, published by Elsevier.
Trending
- GI Grand Rounds lecture – GI 2.0: From Procedures to Pathways
- Gastroenterology Practice Economics: Benchmark 2026 (Jiro Health)
- Surgery Partners to be taken private by Bon Secours affiliate in $5.7 billion deal (Reuters)
- Guardant Health Applauds New Law Ensuring Access to Colorectal Cancer Screening Innovations with No Cost-Sharing for Pennsylvanians (Guardant Health)
- Genmab and Incyte Announce Clinical Trial Collaboration in Metastatic Colorectal Cancer (Genmab)
- Do Wearables in GI Care Provide Useful Data or Fuel Anxiety? (Medscape)
- APPs Poised to Level the Playing Field for Rural Patients With IBD (GI & Endoscopy News)
- Improve IBD bowel checks for early cancer detection, study finds (Eurekalert)
