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 Solution for Echocardiography to Revolutionize Diagnosis of Heart Failure with Preserved Ejection Fraction

By HospiMedica International staff writers
Posted on 07 Dec 2022
Print article
Image: EchoGo Heart Failure is the first and only AI-enabled HFpEF detection platform for echocardiography (Photo courtesy of Ultromics)
Image: EchoGo Heart Failure is the first and only AI-enabled HFpEF detection platform for echocardiography (Photo courtesy of Ultromics)

Heart failure with preserved ejection fraction (HFpEF) is a type of heart failure often associated with co-morbidities and tends to be caused by increased pressure within the chambers of the heart. The ejection fraction, or the volume of blood ejected from the left ventricle at each heartbeat, however, remains in normal ranges. This makes it exceedingly difficult to detect using traditional diagnostics, which can miss up to 75% of cases. HFpEF accounts for 50% of the 64 million cases of heart failure worldwide and has overtaken heart failure with reduced ejection fraction (HFrEF) as the most prevalent form of the deadly disease. Current approaches include time-consuming and often inconclusive diastolic function assessment, and require a highly specialized, increasingly rare skillset, and often invasive testing. There is an urgent need to develop predictive tools to help diagnose HFpEF patients. Now, an AI solution for echocardiography has the potential to revolutionize the diagnosis of HFpEF.

EchoGo Heart Failure, a clinical and technological breakthrough, was developed by echocardiography and AI experts from Ultromics (Oxford, UK), in collaboration with Mayo Clinic (Rochester, MN, USA). The device analyzes millions of pixels within a single echocardiogram to deliver precision detection of HFpEF, marking a huge leap forward from traditional diagnostic algorithms for HFpEF. EchoGo Heart Failure aims to prevent HF hospitalizations and reduce mortality through better detection of HFpEF.

EchoGo Heart Failure has received US Food and Drug Administration (FDA) clearance. The platform is the first HFpEF detection algorithm that will help support diagnosis and patient selection for therapy, ultimately improving quality of life and reducing the significant burden HFpEF has on healthcare. Patients can now benefit from new therapy drugs, such as SGLT2is, which has been shown to significantly reduce both hospitalizations and potentially fatal adverse events. The simultaneous clearances of EchoGo Heart Failure to improve HFpEF detection and SGLT2 to improve treatment, represents a giant leap forward in addressing the biggest unmet need in cardiovascular medicine.

"We are delighted that the FDA has recognized EchoGo Heart Failure as a breakthrough device and has cleared the technology to provide reliable detection of HFpEF," said Dr. Ross Upton, CEO and Founder of Ultromics. "The technology improves the accuracy of HFpEF detection, enabling more patients to receive treatment which will reduce the significant burden on patients and healthcare systems alike."

"It has been a pleasure to collaborate with the team at Ultromics to develop and test EchoGo Heart Failure," said Patricia A. Pellikka, MD, Vice Chair, Department of Cardiovascular Medicine at Mayo Clinic. "This novel solution applies AI to cardiovascular imaging to greatly simplify identification of patients with HFpEF, a diagnosis that can be challenging to make, and allow more expeditious treatment. HFpEF currently is associated with high rates of hospitalization and mortality. By facilitating early diagnosis and treatment, we can improve the lives of many."

Related Links:
Ultromics
Mayo Clinic 

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
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
New
Digital Radiography System
DigiEye 330
New
Digital Baby Scale
seca 354

Print article

Channels

Critical Care

view channel
Image: Researchers have designed a magnetoplasmonic strain sensor for wearable devices (Photo courtesy of Chemical Engineering Journal, DOI: https://doi.org/10.1016/j.cej.2024.155297)

Power-Free Color-Changing Strain Sensor Enables Applications in Health Monitoring

Wearable devices and smart sensors are revolutionizing health and activity monitoring, enabling functions like heart rate tracking and body movement detection. However, conventional tools like stethoscopes... Read more

Surgical Techniques

view channel
Image: Self-aligning MagDI System magnets fused together (Photo courtesy of GT Metabolic Solutions)

Minimally Invasive Surgical Technique Creates Anastomosis Without Leaving Foreign Materials Behind

Creating a secure anastomosis that is free of complications such as bleeding or leaks is a key goal in minimally invasive bariatric, metabolic, and digestive surgery. Traditional anastomotic methods, such... 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.