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
Radcal

Download Mobile App




Events

31 Jul 2024 - 02 Aug 2024
02 Aug 2024 - 04 Aug 2024
20 Aug 2024 - 22 Aug 2024

ECG-AI Algorithm to Aid Physicians in Earlier Identification of Cardiac Amyloidosis

By HospiMedica International staff writers
Posted on 19 Jul 2023
Print article
Image: Anumana’s cardiac amyloidosis algorithm has received Breakthrough Device Designation from the US FDA (Photo courtesy of Freepik)
Image: Anumana’s cardiac amyloidosis algorithm has received Breakthrough Device Designation from the US FDA (Photo courtesy of Freepik)

Cardiac amyloidosis is a severe, progressive, and often underdiagnosed rare disease leading to heart failure. In those affected, stiff heart walls hinder the left ventricle's function, disrupting proper blood flow in and out of the heart. Early diagnosis is crucial for timely interventions that can enhance patient outcomes. However, the disease's rarity, coupled with its nonspecific and varied symptoms such as shortness of breath, knee pain, bilateral carpal tunnel syndrome, kidney disease, and gastrointestinal issues, make early diagnosis challenging. While standard ECGs are usually obtained to assess these symptoms, human interpretation often overlooks subtle feature combinations that may signify cardiac amyloidosis. Now, an artificial intelligence electrocardiogram (AI-ECG) solution can detect patterns in ECG signals that are usually imperceptible to humans to provide an early warning for cardiac amyloidosis.

Anumana, Inc. (Cambridge, MA, USA) has developed an AI-ECG algorithm to facilitate the early detection of cardiac amyloidosis. The AI-powered software can interpret signals from ECGs that might be missed by human analysts. Given the widespread use of the non-invasive ECG test, AI-ECG algorithms have the potential to reach a larger patient population at an earlier stage. Anumana is presently working on transforming this algorithm into a Software-as-a-Medical-Device (SaMD), with an aim to integrate this solution seamlessly into existing clinical workflows. This AI-ECG solution has also received the Breakthrough Device Designation from the U.S. Food and Drug Administration (FDA), ensuring patients and healthcare providers have timely access to this algorithm.

“The ubiquitous nature of the painless, non-invasive Electrophysiology tests gives ECG-AI algorithms the potential to reach a larger number of patients earlier, something clinicians have long hoped for,” said Venky Soundararajan, PhD, Co-founder, and Chief Scientific Officer of Anumana. “Receiving the FDA Breakthrough Device Designation for our Cardiac Amyloidosis ECG-AI Algorithm recognizes the significant potential of this tool to detect disease early.”

Related Links:
Anumana, Inc. 

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
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
EMG Software
Natus Elite

Print article

Channels

Surgical Techniques

view channel
Image: ImmersiveAR is an FDA-510(k) cleared augmented reality (AR) software (Photo courtesy of 123RF)

Breakthrough AR Surgical System Brings Precision-Enhanced Visualization into the OR

State-of-the-art mixed reality and artificial intelligence (AI) technologies are revolutionizing the field of surgery. Now, a groundbreaking augmented reality (AR) technology platform enables surgeons... 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.