Medical Xpress May 10, 2022
by Elsevier

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.

The 10-year rate of postoperative symptomatic recurrence of Crohn disease, a chronic inflammatory gastrointestinal disease, is estimated at 40%. Although there are scoring systems to evaluate Crohn disease activity and the existence of postoperative recurrence, no...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Provider, Technology
Confronting the ethical issues of human-like AI
GE HealthCare launches voice-activated, AI-powered ultrasound machines for women's health
This Thirty-Year AI Expert Challenges the Notion That AI Can Think
Nurses protest AI at Kaiser Permanente
Machine Learning and Computational Algorithms are revolutionising Diagnostics and attracting significant HealthTech M&A interest

Share This Article