New Study Suggests ECG-AI can Detect Cardiovascular Disease Risks Sooner

Artificial intelligence (AI) from patient electrocardiograms (ECGs) may be an innovative solution to enhance heart disease risk assessment. Atherosclerotic cardiovascular disease - arteries narrowed or blocked by the accumulation of fatty plaques - is the leading global cause of death and is often driven by coronary artery disease. New study data published in eClinicalMedicine suggest that ECG-AI can flag some risks years sooner than current risk calculator equations by identifying signs of coronary artery disease, such as calcification and blockages, as well as evidence of a prior heart attack.

Many people may have coronary artery disease and not be aware of it. Unfortunately, the first sign of the disease could be sudden death or a major heart attack. Clinician tools, such as the pooled cohort equation, help determine a patient's 10-year risk for heart attacks and strokes. The tools guide shared decisions about the timing of therapies, but these tools have limitations.

ECG is a widely available test that measures the heart's electrical activity, and AI can be trained to identify and detect hidden patterns of disease from those electrical signals.

The ECG-AI to predict coronary artery disease was developed at Mayo Clinic and Anumana using the retrospective analysis of electronic health data of over 7 million patients across the U.S. Three separate ECG-AI models were trained, one each to detect coronary artery calcium, coronary artery blockage and segments of the heart's left ventricle not moving well - a sign of a prior heart attack.

"Used together, the three independent ECG-AI models predicted which patients had a high risk of hidden coronary artery disease, and therefore a high risk of having a heart attack. This is important information to guide our conversations with patients at the point of care, especially since the AI was useful in calculating these risks for as short as three years," says Francisco Lopez-Jimenez, M.D., a cardiologist at Mayo Clinic and senior author of the paper. "Used alone, the pooled cohort equation estimates the 10-year risk of developing cardiovascular disease. The addition of ECG-AI to see hidden risks sooner has the potential to save more lives. This model may also help identify people who do not know they have coronary disease who may benefit from lifesaving therapies."

The study was funded by Anumana, a spinoff company of nference and Mayo Clinic. Mayo Clinic has licensed this technology to Anumana. Mayo Clinic and authors of this study may benefit financially in the future if this technology is commercialized.

Samir Awasthi, Nikhil Sachdeva, Yash Gupta, Ausath G Anto, Shahir Asfahan, Ruben Abbou, Sairam Bade, Sanyam Sood, Lars Hegstrom, Nirupama Vellanki, Heather M Alger, Melwin Babu, Jose R Medina-Inojosa, Robert B McCully, Amir Lerman, Mark Stampehl, Rakesh Barve, Zachi I Attia, Paul A Friedman, Venky Soundararajan, Francisco Lopez-Jimenez.
Identification and risk stratification of coronary disease by artificial intelligence-enabled ECG.
eClinicalMedicine, 2023. doi: 10.1016/j.eclinm.2023.102259

Most Popular Now

Researchers Invent AI Model to Design Ne…

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence (AI) model which can design billions of new antibiotic molecules that are inexpensive and easy to...

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Greater Manchester Reaches New Milestone…

Radiologists and radiographers at Northern Care Alliance NHS Foundation Trust have become the first in Greater Manchester to use the Sectra picture archiving and communication system (PACS) to report on...

Powerful New AI can Predict People'…

A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19. The predictive system uses a small set of data from demographics...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...