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
ARAB HEALTH - INFORMA

Download Mobile App




AI-Powered Wearable Device Revolutionizes Gut Health Diagnosis

By HospiMedica International staff writers
Posted on 29 Nov 2024
Print article
Image: The Gastric Alimetry system is a medical device which performs Body Surface Gastric Mapping (Photo courtesy of Alimetry)
Image: The Gastric Alimetry system is a medical device which performs Body Surface Gastric Mapping (Photo courtesy of Alimetry)

Approximately one in 10 individuals experience chronic gut symptoms, including abdominal pain, chronic indigestion, nausea, and vomiting. The current diagnostic process for these conditions is slow and inefficient, leading to a reduced quality of life as patients endure prolonged periods of uncertainty. Now, a wearable device for monitoring gut health promises to simplify and accelerate the diagnostic process, offering quick and clear insights that enable more effective and targeted treatments. This artificial intelligence (AI)--powered device provides an accurate analysis and diagnosis of gut disorders that are often challenging to identify with traditional diagnostic methods.

Similar to the heart, the gut generates electrical currents, though much weaker—about 100 times less intense. Alimetry’s (Auckland, New Zealand) advanced wearable device detects these subtle electrical signals from the skin's surface using Body Surface Gastric Mapping, which functions similarly to an ultra-high-resolution electrocardiogram (ECG). The Gastric Alimetry system records these signals as patients eat and digest meals while logging symptoms via an app. The collected gastric data is transmitted to the cloud, where it is analyzed by AI-powered algorithms, and trained on a vast array of test cases to improve accuracy and performance. The outcome is an auto-generated Gastric Alimetry Report, providing clinicians with objective, data-driven insights to guide diagnosis and the development of personalized treatment plans.

Gut health issues can stem from a variety of sources, such as diet, diseases, and the vagus nerve (physiological causes), or from factors like stress and the gut-brain axis. Having a comprehensive platform that can assess all these factors simultaneously is a major breakthrough for clinicians. The Alimetry platform tracks both physiological data and symptoms, integrating gut-brain health questionnaires within the app, allowing healthcare providers to transform a complex, unclear clinical picture into a precise diagnosis. This facilitates personalized medicine tailored to the individual’s needs. The device and platform, which received FDA approval for clinical use, were rolled out in the U.S. market after a controlled release in 2022. Over 40 hospitals and clinics worldwide have adopted the device.

"Alimetry was designed to introduce clarity into a field that has involved lengthy, uncertain diagnostic journeys. It gives clinicians the tools they need to quickly and correctly diagnose patients so that we can move on from trial and error - and guesswork - into clarity of care and personalized medicine," said Alimetry chief executive Dr. Greg O'Grady.

Related Links:
Alimetry

Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
New
Documentation System For Blood Banks
HettInfo II
New
Blanket Warming Cabinet
EC250

Print article

Channels

Surgical Techniques

view channel
Image: Synthetic images generated by each diffusion model contrasted with the corresponding real textural images of four types of polyps (Photo courtesy of UT at Austin)

AI-Assisted Imaging to Assist Endoscopists in Colonoscopy Procedures

Colorectal cancer is a major health concern in the United States, with the likelihood of developing the disease being 1 in 25 for women and 1 in 23 for men. Polyps, which are precursors to cancer, can... Read more

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... 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 acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.