# K250119: Tempus ECG-Low EF

- Pathway: 510(k) (Traditional)
- Applicant: Tempus AI, Inc.
- Decided: Jul 15, 2025 after 180 days
- Product code: QYE (Reduced Ejection Fraction Machine Learning-Based Notification Software)
- Device class: 2
- Regulation: 21 CFR 870.2380
- Recalls of this device: none
- Data: FDA decisions to Oct 25, 2026; recalls to Oct 12, 2026

## Lineage
Longest line of descent: 2 generations back to DEN230003 (2023). 2 ancestors in all.
No later device cites it as a predicate yet.
0 of 3 devices in its family (counting itself) have a Class I recall.

## Predicates on the family tree (from the FDA summary)
- K232699: Low Ejection Fraction AI-ECG Algorithm, Anumana, Inc. (2023) Summary page 5.

## Indications for use
Tempus ECG-Low EF is software intended to analyze resting, non-ambulatory 12-lead ECG recordings and detect signs associated with having a low left ventricular ejection fraction (LVEF less than or equal to 40%). It is for use on clinical diagnostic ECG recordings collected at a healthcare facility from patients 40 years of age or older at risk of heart failure. This population includes but is not limited to patients with atrial fibrillation, aortic stenosis, cardiomyopathy, myocardial infarction, diabetes, hypertension, mitral regurgitation, and ischemic heart disease. Tempus ECG-Low EF only analyzes ECG data and provides a binary output for interpretation. Tempus ECG-Low EF is not intended to be a stand-alone diagnostic tool for cardiac conditions, should not be used for patient monitoring, and should not be used on ECGs with paced rhythms. Results should be interpreted in conjunction with other diagnostic information, including the patient’s original ECG recordings and other tests, as well as the patient’s symptoms and clinical history. A positive result may suggest the need for further clinical evaluation in order to establish a diagnosis of low LVEF. Patients receiving a negative result should continue to be evaluated in accordance with current medical practice standards using all available clinical information.

Source page: https://510kreport.com/device/K250119
Methodology: https://510kreport.com/methodology