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 hp
Sign In
Advertise with Us
Radcal

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
Intel 

Gold Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
Gold Member
12-Channel ECG
CM1200B
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Transport Ventilator
TV80

Print article

Channels

Critical Care

view channel
Image: The AI model uses data from patients\' electronic health records to predict their chances of surviving CRRT (Photo courtesy of 123RF)

AI Model Accurately Predicts Continuous Renal Replacement Therapy Survival

Continuous renal replacement therapy (CRRT) is a type of dialysis used for severely ill patients who are unable to undergo regular hemodialysis. Although CRRT has been in use for many decades, there is... Read more

Surgical Techniques

view channel
Image: Classification of the guidance image applied for surgical robot (Photo courtesy of Science China Press)

Advances in Image-Guided Methods Enabling Intelligent Surgical Robots for Precise Procedures

Traditional image-guided methods often depend on stationary equipment within the operating room, while modern surgical robots are equipped to acquire and process high-precision images in real time during surgeries.... Read more

Patient Care

view channel
Image: The portable, handheld BeamClean technology inactivates pathogens on commonly touched surfaces in seconds (Photo courtesy of Freestyle Partners)

First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds

Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... 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: POCT offers cost-effective, accessible, and immediate diagnostic solutions (Photo courtesy of Flinders University)

POCT for Infectious Diseases Delivers Laboratory Equivalent Pathology Results

On-site pathology tests for infectious diseases in rural and remote locations can achieve the same level of reliability and accuracy as those conducted in hospital laboratories, a recent study suggests.... Read more

Business

view channel
Image: The finalists have been announced for the IHF Awards 2024 (Photo courtesy of IHF)

International Hospital Federation Awards 2024 Finalists Announced

The International Hospital Federation (IHF; Geneva, Switzerland) has announced the finalists of the IHF Awards 2024 after the judges completed scoring entries in all 7 Award categories. The IHF Awards... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.