Using AI to diagnose coeliac disease

Machine learning algorithm has been trained on almost 3,400 scanned biopsies from four NHS hospitals.

Could speed up diagnosis of coeliac disease and take pressure off stretched healthcare resources, as well as improving diagnosis in developing nations, where shortages of pathologists are severe.

Algorithm was trained and tested on a large-scale dataset consisting of over 4,000 images obtained from five different hospitals using five different scanners.

Machine Learning Achieves Pathologist-Level Coeliac Disease Diagnosis .

Researchers set up a spinout company, Lyzeum Ltd , to commercialise the algorithm.

Liz Cox , 80 , had been having symptoms including anaemia and stomach pains for almost 30 years when a question from a friend made her realise that she ought to seek help.

Liz is impressed with the use of AI to diagnose coeliac disease. Her referral for an endoscopy and the subsequent diagnosis happened relatively quickly. Not everyone is as fortunate. “You hear stories from other people, and they've waited a long time. They go back and forward to the doctor's often, with various odd symptoms, and perhaps the doctors don't always test them for that..