ECG-AI Pulmonary Hypertension (PH) 12-Lead algorithm (1020)

K252360

Anumana, Inc. · cleared 2026-03-28 · product code SAT · Cardiovascular

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.5)
ECG-AI PH 12-Lead algorithm interprets 12-lead ECG voltage time series data using an artificial intelligence-based algorithm. The device analyzes 10 seconds or longer duration of a single 12-lead ECG acquisition, and within seconds detects the presence of pulmonary hypertension in the intended patient population. The software module can be integrated into a client application to be accessed by clinicians and results viewed through an Electronic Medical Record (EMR) system or an ECG Management System (EMS) ECG-AI PH 12-Lead algorithm is provided as a software module packaged in a Docker container to facilitate installation.
Algorithmartificial intelligence-based algorithm / machine learning-based algorithm
source quote (p.5)
ECG-AI PH 12-Lead algorithm interprets 12-lead ECG voltage time series data using an artificial intelligence-based algorithm. Principal of Operation Machine learning-based algorithm
Adaptive (vs locked)FDA source did not state this
PCCPYes
source quote (p.1)
FDA's substantial equivalence determination also included the review and clearance of your Predetermined Change Control Plan (PCCP). Under section 515C(b)(1) of the Act, a new premarket notification is not required for a change to a device cleared under section 510(k) of the Act, if such change is consistent with an established PCCP granted pursuant to section 515C(b)(2) of the Act. Under 21 CFR 807.81(a)(3), a new premarket notification is required if there is a major change or modification in the intended use of a device, or if there is a change or modification in a device that could significantly affect the safety or effectiveness of the device, e.g., a significant change or modification in design, material, chemical composition, energy source, or manufacturing process. Accordingly, if deviations from the established PCCP result in a major change or modification in the intended use of the device, or result in a change or modification in the device that could significantly affect the safety or effectiveness of the device, then a new premarket notification would be required consistent with section 515C(b)(1) of the Act and 21 CFR 807.81(a)(3). This device has been cleared by the U.S. Food and Drug Administration (FDA) with a Predetermined Change Control Plan (PCCP). As part of this authorization, the device software may be updated periodically to enhance performance, including for higher sensitivity and/or specificity.
Cybersecurity addressedYes
source quote (p.7)
The performance characteristics for the ECG-AI PH 12-Lead Algorithm have been evaluated with the following non-clinical testing: software verification and validation (per IEC 62304), cybersecurity, labeling verification and validation, and human factors. Compliant with FDA Guidance on Cybersecurity

Validation studies (1)

Retrospective clinical

n=21,066 patients · 5 site(s)

endpoints: diagnostic performance for the purpose of detecting the presence of a pulmonary hypertension in a clinically and demographically diverse population

standards: ISO 13485, ISO 13484, 21 CFR Part 820, IEC 62304

Reported performance (6 observations)

sensitivity73CI 72.1% to 73.9%
source quote (p.9)
The Anumana ECG-AI PH 12-Lead device achieved a sensitivity of 73.0% (95% CI of 72.1% to 73.9%)
specificity74.4CI 73.5% to 75.2%
source quote (p.9)
and a specificity of 74.4% (95% CI of 73.5% to 75.2%).
ppvas written: “Positive Predictive Value (Validation Study)28.7
source quote (p.7)
Positive Predictive Value (Validation Study) 28.7%
npvas written: “Negative Predictive Value (Validation Study)95.1
source quote (p.7)
Negative Predictive Value (Validation Study) 95.1%
ppvas written: “Positive Predictive Value (Estimated Prevalence of US adults with dyspnea: 4.36%)11.5CI 11.2% to 11.8%
source quote (p.9)
This resulted in a PPV of 11.5% (95% CI of 11.2% to 11.8%)
npvas written: “Negative Predictive Value (Estimated Prevalence of US adults with dyspnea: 4.36%)98.4CI 98.3% to 98.4%
source quote (p.9)
and NPV of 98.4% (95% CI of 98.3% to 98.4%).

Each value carries its own analysis unit and task — never compare or pool across devices. Source: 510(k) summary PDF.

Predicate network

Postmarket — what happened after clearance

0
recalls in product code, 24mo
0
MAUDE reports in code, 12mo
vs code's own 3-yr baseline
0
drift signals on this device

Recall and MAUDE counts are product-code-level (reports aren't reliably attributable to one device). Signals are descriptive observables with sources — never a judgment that the device is unsafe or drifting. Snapshot 2026-07-08.

Reimbursement — how devices like this got paid

Not yet tracked — no payment pathway indexed for this clearance (the reimbursement corpus is a growing seed set).

RIGOR™ Precedent · public FDA/CMS data · descriptive decision-support, not regulatory or reimbursement advice. Share this page: radar.healthai.com/precedent/device/K252360