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
Sekisui Diagnostics UK Ltd.

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
Disposable Protective Suit For Medical Use
Disposable Protective Suit For Medical Use
Gold Member
12-Channel ECG
CM1200B
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Multilevel Self-Loading Stretcher
CARRERA XL

Print article

Channels

Surgical Techniques

view channel
Image: Miniaturized electric generators based on hydrogels for use in biomedical devices (Photo courtesy of HKU)

Hydrogel-Based Miniaturized Electric Generators to Power Biomedical Devices

The development of engineered devices that can harvest and convert the mechanical motion of the human body into electricity is essential for powering bioelectronic devices. This mechanoelectrical energy... 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 Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.