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 Analyzes Data from MRI Scans, Biopsy and Blood Values to Diagnose Intestinal and Brain Disorders

By HospiMedica International staff writers
Posted on 30 Jan 2024
Print article
Image: A computer system can connect and analyze diverse types of medical data for disease diagnosis (Photo courtesy of 123RF)
Image: A computer system can connect and analyze diverse types of medical data for disease diagnosis (Photo courtesy of 123RF)

Healthcare is now evolving towards a computer system that learns from extensive medical data and offers personalized advice for patients. This could involve, for instance, comparing a patient's MRI scan with a database of scans and comprehensive medical histories from similar cases. The complexity of this system lies in handling various data types, including textual information, blood test results, medical imagery, and genetic data.

An international team of researchers, which includes investigators from the Radboud University Medical Center in Nijmegen, Netherlands, and backed by a EURO 11 million grant from the European Commission, is in the process of creating an artificial intelligence (AI) system. This AI is designed to provide insights into several brain and intestinal disorders such as depression, anxiety, and obesity, and to explore the interrelations between these conditions. The computer system, named Ciompi, will be capable of connecting and analyzing diverse types of medical data. The focus is on disorders related to the brain and intestines due to the significant interplay between these two organs, known as the "gut-brain axis." The system will look for patterns in this multimodal data, like the simultaneous presence of specific conditions or states.

A considerable amount of data is already available from earlier studies, including 20,000 digitized images of intestinal polyps and biopsies, data on intestinal bacteria, genetic information, and numerous MRI brain scans. The researchers plan to interlink these data sets, and the broader scope of the EU project includes examining factors like air pollution. The computer system will employ algorithms that learn from this pool of data. These algorithms will be housed on the Grand Challenge platform, renowned for hosting global competitions to develop superior algorithms for medical image analysis, like CT or MRI scans. This platform also supports hosting various algorithms and data types, accessible in different formats. Presently, the platform accommodates medical images and digital pathology slides, but the project aims to incorporate additional data types such as genetic information. The new algorithms will be integrated into this platform. However, not all the data used for training the system will be stored online.

Increasingly, 'federated' methods are being employed to both train AI algorithms and access data. For example, in federated learning, the algorithms virtually visit different hospitals via the platform, learning directly from the medical data on-site, without the need to transfer the data out of the hospital. Once the algorithms have sufficiently learned from these virtual visits, they can then aid doctors in the future. For instance, Ciompi will be able to compare a patient's diverse data from the gut and brain, such as fMRI scans, intestinal biopsies, and metabolome sequences from fecal samples, with scans and medical records from similar cases. This system can then assist healthcare providers in diagnosing, predicting outcomes, identifying potential connections with other conditions, and recommending treatment strategies.

Related Links:
Radboud University Medical Center

Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Single Cavity Combination Warmer
EC550BL

Print article
Detecto

Channels

Critical Care

view channel
Image: Detecting heart diseases using AI and the ECG (Photo courtesy of 123RF)

AI Technology Boosts ECG Capabilities for Early Heart Disease Diagnosis

Cardiovascular diseases often remain undetected until a critical event like a heart attack or stroke occurs. Early identification is key to improving outcomes, but the absence of clear symptoms complicates... Read more

Surgical Techniques

view channel
Image: ROSA Shoulder is a groundbreaking robotic system for anatomic and reverse shoulder arthroplasty (Photo courtesy of Zimmer Biomet)

World's First Robotic Assistant for Shoulder Replacement Surgery Helps Perform Highly Complex Procedures

A key challenge in performing a shoulder replacement is accurate glenoid and humeral placement, which is a critical factor for post-operative function and long-term implant survival. Now, a groundbreaking... 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.