We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App

AI Tool Analyzes Capsule Endoscopy Videos for Accurately Predicting Patient Outcomes for Crohn’s Disease

By HospiMedica International staff writers
Posted on 24 Jul 2023
Print article
Image: Researchers are using AI to help with Crohn’s disease (Photo courtesy of Sheba Medical Center)
Image: Researchers are using AI to help with Crohn’s disease (Photo courtesy of Sheba Medical Center)

Crohn’s Disease, an inflammatory bowel disease, can lead to serious symptoms if not properly managed. There is a clear need for reliable predictors of disease prognosis and response to treatment. Capsule endoscopy, which uses a tiny device fitted with a camera and transmitter to analyze the entire digestive system, offers a potential solution. However, each endoscopy capsule film yields about 10 – 12 thousand images, making it challenging for doctors to identify all crucial details due to the high volume of visual data. Now, a newly developed artificial intelligence (AI) algorithm can rapidly scan and thoroughly analyze all the images produced by the endoscopic capsule within minutes. It can spot inflammations and ulcers, as well as gauge the severity of Crohn’s Disease to help physicians select the best treatments.

Sheba Medical Center (Ramat Gan, Israel) has partnered with Intel (Santa Clara, CA, USA) to develop the AI algorithm-based application that scans and analyzes the images generated by the endoscopic capsule, detecting signs of inflammation and ulcers and evaluating the severity of the disease to inform treatment decisions. The AI platform is expected to reduce the risk of medical complications and hospital admissions, as well as the necessity for invasive procedures, owing to its ability to facilitate early detection of Crohn's Disease.

A recent peer-reviewed study verified the accuracy of the AI algorithm in predicting treatment outcomes for Crohn's Disease, highlighting its potential in guiding the decision for biological therapy. In the study, a team of data researchers and physicians tested this deep learning model using complete capsule endoscopy videos from 101 patients with Crohn's Disease to assess its predictive accuracy for biological therapy. The AI algorithm demonstrated an impressive 81% accuracy, significantly outperforming the analysis by a gastroenterologist based on the inflammatory index in stool samples (calprotectin).

This latest research comes on the back of a trial last year in which the AI algorithm demonstrated its ability to process up to 12,000 images in roughly two minutes. Moreover, it proved to be an extremely effective diagnostic tool, offering 86% accuracy in image and data analysis, compared to the 68% accuracy achieved by an experienced gastroenterologist. The AI analysis also compared favorably to the analysis based on the inflammatory index in stool (calprotectin).

“Predicting disease course and patient outcomes for Crohn’s Disease is one of the most critical clinical challenges in inflammatory bowel disease treatment. However, this research highlights the potential impact of AI on this process,” said Prof. Uri Kopylov, Director of IBD in the Department of Gastroenterology at Sheba. “By adopting AI in clinical practice, we can begin to use our wealth of knowledge and research in personalized medicine to drive improved patient outcomes and open the door to new possibilities for diagnosis and treatment.”

Related Links:
Sheba Medical Center

Gold Member
Solid State Kv/Dose Multi-Sensor
Gold Member
Silver Member
Compact 14-Day Uninterrupted Holter ECG
3-In-1imaging Platform

Print article


Critical Care

view channel
Image: Vascular flow modeling exemplar; intracranial aneurysm flow, treatment and thrombosis (Photo courtesy of University of Leeds)

Faster, More Accurate Blood Flow Simulation to Revolutionize Treatment of Vascular Diseases

The field of vascular flow modeling is vital for understanding and treating vascular diseases, but traditionally, these methods require extensive labor and computation. Now, researchers have made groundbreaking... Read more

Surgical Techniques

view channel
Image: The prototype pacemaker is made of a specially engineered membrane (Photo courtesy of University of Chicago)

Ultra-Thin, Light-Controlled Pacemaker Regulates Heartbeats

Millions of individuals depend on pacemakers, small yet vital devices that help maintain a regular heartbeat by regulating the heart's electrical impulses. To minimize complications, there is growing interest... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The new eye-safe laser technology can diagnose traumatic brain injury (Photo courtesy of 123RF)

Novel Diagnostic Hand-Held Device Detects Known Biomarkers for Traumatic Brain Injury

The growing need for prompt and efficient diagnosis of traumatic brain injury (TBI), a major cause of mortality globally, has spurred the development of innovative diagnostic technologies.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.