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Study: AI Can Predict Patients At High Risk Of Major Adverse Cardiac Events

Study: AI Can Predict Patients At High Risk Of Major Adverse Cardiac Events
A new independent study by Imperial College London (Imperial) researchers shows artificial intelligence’s (AI) remarkable capability at predicting major adverse cardiac events (MACE), including heart attacks and heart failure. 

The researchers used Eko Health’s U.S. Food and Drug Administration (FDA)-cleared and UKCA-marked Low Ejection Fraction AI to conduct the study, which reinforced the power of Eko’s AI for early detection while also showing its potential to improve cardiovascular care in both clinical and remote settings.

 

Imperial researchers unveiled three significant studies: 


Eko AI Predictive of Major Adverse Cardiac Events and Mortality


In a pivotal trial involving more than 1,000 patients, Eko’s AI was shown to predict MACE—including heart attacks, heart failure, and hospitalization—as well as all-cause mortality. Patients flagged by the AI for low ejection fraction were twice as likely to experience MACE compared to those without a positive AI result. These patients also faced a 65% higher mortality rate, even after adjusting for traditional risk factors. 

“These findings underscore the power of AI-ECG in identifying patients at a significantly higher risk of MACE and mortality, even when traditional markers like left ventricular ejection fraction appear normal. In our study, patients with a positive AI-ECG result had more than double the risk of MACE and a 65% higher risk of mortality. This technology represents a critical advancement in early cardiac risk stratification, offering the potential for more targeted interventions through the simple addition of a single-lead ECG,” said Dr. Patrik Bächtiger, a co-lead of the Imperial research.
 
“Notably, the AI identified at-risk patients who had unremarkable results from traditional diagnostic tools, such as echocardiograms. This highlights the technology’s ability to detect hidden risk factors, offering healthcare providers a powerful tool for early intervention and improved patient outcomes,” added Prof. Nicholas S. Peters, director of the Health Impact Lab at Imperial.
 


Eko AI Expands Remote Care Capabilities for Heart Failure Patients


In another Imperial study presented at ESC 2024, Eko’s AI technology demonstrated its potential for remote patient monitoring, particularly for heart failure. The study found that Eko’s AI could accurately predict changes in left ventricular ejection fraction (LVEF), a critical indicator of heart function in heart failure patients. With the ability to monitor changes in LVEF from home, patients can benefit from earlier interventions and personalized adjustments to their treatment plans, reducing the need for frequent hospital visits and providing peace of mind. 


Eko AI Demonstrates Scalability for Widespread Clinical Integration

Over a 12-week period, the Imperial team successfully integrated Eko’s AI across 71 primary U.K. care sites. This study highlighted both the consistent and seamless adoption of the technology by healthcare providers, in addition to its ability to enhance patient care without straining existing healthcare systems. “This demonstrates the technology’s practicality and scalability for widespread clinical use, paving the way for broader implementation in routine medical practice,” said Dr. Mihir Kelshiker, a co-lead of this program at Imperial.
 
Together, these findings further solidify Eko’s Low EF AI technology as an important innovation for early detection and management of cardiovascular disease, reinforcing its role as an essential tool in advancing patient care, according to the company.
 
“This important research from Imperial College London highlights the transformative potential of Eko’s AI technology in the fight against heart disease,” Eko Health Co-Founder/CEO Connor Landgraf stated. “By identifying patients at elevated risk for major cardiac events with a simple, non-invasive test, we are empowering clinicians worldwide to take action earlier, ultimately saving lives and improving care outcomes on a global scale.”
 
Eko Health is a digital health company advancing the ways in which healthcare professionals detect and monitor heart and lung disease with its portfolio of digital stethoscopes, patient and provider software, and AI-powered analysis. Its FDA-cleared platform, used by more than 500,000 healthcare professionals worldwide, allows them to detect earlier and with higher accuracy, diagnose with more confidence, manage treatment effectively. Eko Health is headquartered in Emeryville, Calif., with more than $165 million in funding from ARTIS Ventures, DigiTx Partners, Double Point Ventures, EDBI, Highland Capital Partners, LG Technology Ventures, Mayo Clinic, Morningside Technology Ventures Limited, NTTVC, Questa Capital, and others.
 

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