Cardiology
Software that reads ECGs, heart sounds and coronary CT scans to flag low ejection fraction, murmurs and coronary narrowings that limit blood flow.
The tools in this category analyze tests already used in cardiac care: a 12-lead ECG or a stethoscope recording screened for low ejection fraction, heart sounds checked for murmurs, and coronary CT angiograms analyzed for plaque and for narrowings that limit blood flow. A 2025 meta-analysis of AI models that read the ECG for low left ventricular ejection fraction found pooled sensitivity of 86.9% and specificity of 84.4%. AI-ECG also has outcome evidence beyond screening: in a pragmatic randomized trial of 15,965 hospitalized patients in Taiwan, mortality alerts to physicians from an AI-ECG system not reviewed here were associated with lower 90-day all-cause mortality (3.6% versus 4.3%; hazard ratio 0.83).
A 2024 American Heart Association scientific statement said few AI tools have been shown to improve cardiovascular and stroke care sufficiently to be widely adopted. Open questions for the tools here are whether more diagnoses and fewer invasive tests lead to better outcomes for patients, and whether accuracy holds outside the centers and populations where the algorithms were developed.
Anumana ECG-AI LEF
Anumana says ECG-AI LEF, developed in partnership with Mayo Clinic, is software that screens for low ejection fraction (EF) in adults at risk for heart failure using data from a routine 12-lead ECG, a test used in both primary and specialty care.
Why this grade. Randomized trials disagree: EAGLE, a cluster randomized trial of 22,641 adults in Mayo Clinic primary care testing the original Mayo Clinic model, raised new low-EF diagnoses (2.1% versus 1.6%), while in SPEC-AI Nigeria, a randomized trial of 1,232 pregnant and postpartum women, the cleared algorithm's result was not significant (3.4% versus 2.0%).
The evidence
In EAGLE, new diagnoses of EF of 50% or less within 90 days rose from 1.6% to 2.1% (odds ratio 1.32). The SPEC-AI Nigeria authors describe the U.S. FDA-cleared algorithm, available from Anumana, as a modification of the original Mayo Clinic 12-lead model retrained to detect LVEF below 40%; with it, left ventricular systolic dysfunction was detected in 3.4% of the intervention arm versus 2.0% of controls (odds ratio 1.75, P=0.125).
A retrospective validation of 16,000 records (13,960 evaluable) at four U.S. sites, funded by Anumana, co-authored by four of its employees and used in its FDA submission, found an area under the receiver operating characteristic curve of 0.92, sensitivity of 84.5% and specificity of 83.6% for LVEF of 40% or less, with a negative predictive value of 98.4% at 7.9% prevalence. The FDA summary reports the same sensitivity, specificity and predictive values and says the algorithm was developed on records of 93,722 Mayo Clinic patients who had an ECG and an echocardiogram within two weeks; LVEF of 40% or less (11% of the cohort) was the target.
- Used by
- Philips said in July 2025 that the algorithm is integrated across its ECG portfolio through the Philips ECG AI Marketplace.
- FDA
- FDA cleared the Low Ejection Fraction AI-ECG Algorithm through the 510(k) pathway as K232699 on Sept. 28, 2023, to aid in screening for left ventricular ejection fraction (LVEF) of 40% or less in adults at risk for heart failure. A later 12-lead version was cleared as K250652 on July 28, 2025.
- Limits
- The positive trial, EAGLE, tested the original model at Mayo Clinic, its developer, with an outcome of EF of 50% or less, while the cleared algorithm targets LVEF of 40% or less. Results of an Anumana-sponsored cluster randomized implementation trial, planned for about 790 clinicians in five health systems, were not found, and the validation's positive predictive value was 30.5%.
Eko SENSORA
Eko says SENSORA delivers real-time AI analysis in under a minute, enabling earlier detection of structural murmurs, low ejection fraction (EF) and atrial fibrillation using the company's ECG-enabled digital stethoscopes.
Why this grade. Randomized trials disagree: a pragmatic randomized trial of 1,232 pregnant and postpartum women in Nigeria (SPEC-AI Nigeria) found the AI stethoscope doubled detection of left ventricular systolic dysfunction (4.1% versus 2.0%), while a cluster randomized trial in 205 U.K. general practices (TRICORDER) found no difference in heart failure detection by intention to treat.
The evidence
In SPEC-AI Nigeria, at six hospitals, the intervention arm was screened with an Eko DUO stethoscope; detection was 24 of 587 versus 12 of 608 (odds ratio 2.12, P=0.032), with no serious adverse events. In TRICORDER, the incidence rate ratio for heart failure detection was 0.94 (95% confidence interval 0.86 to 1.02). Press coverage reported that patients examined with the device were 2.33 times as likely to be diagnosed with heart failure, that two-thirds of suspected heart failure cases it flagged were ruled out, and that a significant number of practices stopped using it after a year.
In a prospective study of 1,050 patients in London, independent of Eko, the AI had an area under the curve of 0.85 at the best recording position (sensitivity 84.8%, specificity 69.5%). For murmurs, two accuracy studies by authors including current or former Eko employees found 76.3% sensitivity and 91.4% specificity in 962 patients and, at three primary care clinics, 92.3% sensitivity for moderate or greater valve disease versus 46.2% for physicians, with lower specificity (86.9% versus 95.6%).
- Used by
- Eko said in February 2026 that more than 700,000 devices had been sold worldwide. In the TRICORDER trial in the U.K., 96 general practices recorded 12,725 examinations with the AI stethoscope by 972 clinical users.
- FDA
- FDA cleared the Eko Low Ejection Fraction Tool (ELEFT) as K233409 on March 28, 2024, to aid in identifying left ventricular ejection fraction (LVEF) of 40% or less. Eko Murmur Analysis Software was cleared as K213794 on June 29, 2022, and Eko Foundation Analysis Software with Transformers (EFAST) as K251494 on Aug. 12, 2025. Eko said FDA granted breakthrough status to its ECG-based heart failure screening algorithm in December 2019.
- Limits
- The positive trial enrolled pregnant and postpartum women in Nigeria; the larger U.K. trial in routine primary care found no significant increase in heart failure detection by intention to treat, and its as-used results and practice dropout come from press coverage. The murmur feature has accuracy studies only, largely Eko-authored, and on its own would grade C.
- Cost
- On Eko's store page, AI features require an Eko+ membership billed at $119.99 a year. Eko said a proposed Medicare rule set $128.90 per use for SENSORA's billing code. Enterprise pricing is not published.
HeartFlow FFRct and Plaque Analysis
HeartFlow says its software assesses blood flow anywhere in the coronary tree to determine the benefit of revascularization, and quantifies and characterizes plaque. The National Institute for Health and Care Excellence (NICE) describes its fractional flow reserve derived from CT (FFRct) as coronary physiology simulation software for previously acquired CT data.
Why this grade. Randomized trials are mixed on their primary outcomes: in PRECISE, 2,103 patients at 65 sites, a strategy of risk-based deferral and CT angiography with selective FFRct cut its primary composite end point (4.2% versus 11.3%), while FORECAST, 1,400 patients at 11 U.K. centers, found no difference in cost, its primary outcome, though 22% fewer patients had invasive angiography.
The evidence
The PRECISE composite of death, nonfatal myocardial infarction or catheterization without obstructive coronary artery disease was driven by fewer catheterizations without obstructive disease (2.6% versus 10.2% with usual testing); nonfatal myocardial infarction occurred in 1.2% with the precision strategy and 0.5% with usual testing, a difference that was not significant. In FORECAST, invasive angiography showing no obstructive disease was 52% lower in the group assigned to CT angiography with selective FFRct.
In an observational study of England's national program, covering 90,553 patients who had coronary CT angiography at 27 NHS hospitals, there was no difference in all-cause mortality (adjusted hazard ratio 1.00) and fewer invasive coronary angiograms (adjusted hazard ratio 0.93) after FFRct became available than before. In the nonrandomized PLATFORM study at 11 European sites, invasive angiography found no obstructive disease in 12% of patients for whom it was planned in the FFRct-guided arm, versus 73% with usual care. For Plaque Analysis, the REVEALPLAQUE study of 237 patients, co-authored by HeartFlow employees, found a correlation of 0.91 with intravascular ultrasound for total plaque volume.
- Used by
- According to HeartFlow's homepage, more than 750,000 patients have been treated and more than 1,800 institutions use it. England's NHS funded FFRct nationally; 27 hospitals were in the national evaluation.
- FDA
- FDA granted HeartFlow FFRct De Novo authorization as DEN130045 on Nov. 26, 2014. HeartFlow Analysis, which provides plaque identification and characterization as well as FFRct calculations, was cleared through the 510(k) pathway as K213857 on Oct. 14, 2022, and a later version as K250902 on July 18, 2025.
- Limits
- Both trials tested CT-based strategies with selective FFRct rather than FFRct alone; PRECISE was funded by HeartFlow and FORECAST had an unrestricted HeartFlow grant. Neither primary result was a reduction in deaths or myocardial infarctions. Plaque Analysis on its own has accuracy evidence only, which would grade C.
- Cost
- NICE lists FFRct at £700 per test; no U.S. list price is published. A trade report said Medicare's proposed 2026 physician fee schedule included $1,000 for AI coronary plaque analysis, which HeartFlow offers.
Grades: A, randomized evidence of benefit; B, evidence from clinical use; C, accuracy studies only; D, little or no independent evidence. How the grades work. Reviews of the published evidence, not medical advice or an endorsement of any product.