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
77 ELEKTRONIKA

Download Mobile App




AI-Enabled Predictive Cardiology Tests Could Identify Patients Suffering from Undiagnosed Heart Disease

By HospiMedica International staff writers
Posted on 08 Nov 2022
Print article
Image: Tempus is studying its predictive, AI-enabled algorithmic tests via a network of researchers (Photo courtesy of Pexels)
Image: Tempus is studying its predictive, AI-enabled algorithmic tests via a network of researchers (Photo courtesy of Pexels)

Millions of people suffer from undiagnosed heart disease, leading to debilitating outcomes, such as stroke, that can potentially be avoided with early diagnosis. Now, a new artificial intelligence (AI)-enabled technology aims to help clinicians find these patients.

Tempus (Chicago, IL, USA) has launched a multi-center study titled, “Electrocardiogram-based Artificial Intelligence-Assisted Detection of Heart Disease,” or ECG-AID. The study aims to evaluate the impact of the company’s investigational, AI-enabled, predictive tests in cardiology and focuses on finding patients at high risk of developing atrial fibrillation (AFib) or any of seven structural heart diseases (SHD), including diseases of the mitral, aortic and tricuspid valves, abnormal heart function, and abnormal heart thickening. The new algorithmic tests created by Tempus use a type of AI called a deep neural network to automatically interpret a 12-lead ECG - a widely used clinical test that measures the electrical signals of the heart - to identify patients at high risk of developing heart diseases. The algorithms are being developed to provide results that, when interpreted in conjunction with other available clinical information, can support clinicians in pursuing early and proactive diagnoses with the goal of enabling improved clinical management of these conditions and their associated health risks.

The study investigates whether layering a machine learning model onto a clinically acquired electrocardiogram (ECG) can make it smarter with new functionality. The ECG-AID study will be conducted in collaboration with a growing network of providers and cardiologists and will welcome additional research sites over the coming months. Patients who have received a 12-lead ECG during routine clinical care are eligible for the study. Their ECG data will be analyzed using Tempus’ investigational ECG Analysis Platform algorithms to identify which patients are at high risk of developing heart disease.

The patients participating in the study who are over the age of 65 with no known history of AFib and who are identified as high risk will receive a ZioXT long-term, continuous cardiac monitor, to assess for AFib and other abnormal heart rhythms. Additionally, study participants over the age of 40 years with no prior history of SHD who are identified as high risk will undergo an echocardiogram. Those participants who receive new diagnoses from cardiac monitoring or the echocardiogram will be routed to the appropriate physician for further care and potential treatment with their provider.

“As a practicing cardiologist, I’m excited to be launching a study with the goal of finding treatable heart disease before it is too late. We owe it to patients to build technology like the Tempus ECG Analysis Platform to deliver on the promise of data-driven precision medicine,” said John Pfeifer, MD, MPH, Vice President of Clinical Cardiology at Tempus.

Related Links:
Tempus

Gold Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
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)
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Hydrogen Peroxide & Plasma Sterilizer
130HPO

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.