Hughes Fellow Dr Florian Jaeckle recently joined 30 scientists in Westminster to find out how scientific research feeds into policymaking and real world decisions with the Royal Society Pairing Scheme.🙌💡 Learn more⬇️ www.hughes.cam.ac.uk/about/news/r...

Another health breakthrough, this time from Cambridge University. An AI tool can diagnose celiac disease from biopsy images with over 97% accuracy in seconds.

Very excited to share our paper "Interpretable machine learning-­based detection of coeliac disease" published this week in BMJ Digital Health & AI (bmjdigitalhealth.bmj.com/content/1/1/...) @bmj.com. Key findings below 👇 [1/5]

📢 New blog post! Find out how @florianjaeckle.bsky.social based at @campathology.bsky.social @cuh.nhs.uk @hugheshall.bsky.social is using AI to speed up diagnosis of coeliac disease developing an algorithm that correctly identified more than 95 cases out of 100. Find out more: bit.ly/3Z3Q6C0

A machine learning model that diagnoses celiac disease from duodenal biopsy images demonstrates strong generalizability across multiple hospitals & has the potential to enhance diagnostic efficiency & reliability in clinical practice. nejm.ai/4iJz7fZ #AI #MedSky @florianjaeckle.bsky.social

A new #ML model developed for #CeliacDisease diagnosis achieved accuracy, sensitivity, and specificity above 95%, matching or exceeding pathologist-level performance. By diagnosing CD from diverse biopsy samples, it has the potential to reduce diagnostic time and support more reliable diagnoses.

Very excited to share our latest work published yesterday in NEJM AI @ai.nejm.org. We developed an AI model that diagnoses coeliac disease at the same level of accuracy as experienced pathologists. The paper is available to read here: ai.nejm.org/stoken/defau...

Exciting developments in this field - congratulations to @florianjaeckle.bsky.social who is co-author of this important research.🌟

A machine learning model that diagnoses celiac disease from duodenal biopsy images demonstrates strong generalizability across multiple hospitals and has the potential to enhance diagnostic efficiency and reliability in clinical practice. #NEJMAI #OriginalArticle

Researchers develop AI tool that could speed up coeliac disease diagnosis

An #AI tool developed by @uniofcam.bsky.social scientists could help accelerate coeliac diagnosis. "This is the first time AI has been shown to diagnose as accurately as an experienced pathologist whether an individual has coeliac or not" Dr Florian Jaeckle