Tempus ECG-Low EF

Primary DI
00860011843610
Brand
Tempus ECG-Low EF
Company
Tempus AI, Inc.
Model
2
Device description
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.
Published
2025-07-24
Public version status
Update
Distribution status
In Commercial Distribution
MRI safety
Labeling does not contain MRI Safety Information
Rx
true

Contact Domains#

Product Codes#

Code, Name table
CodeName
QYEReduced Ejection Fraction Machine Learning-Based Notification Software

Product Code Classifications#

Code, Device, Specialty table
CodeDeviceSpecialtyClass
QYEReduced Ejection Fraction Machine Learning-Based Notification SoftwareCardiovascular2

Premarket Submissions#

Submission, Supplement table
SubmissionSupplement
K250119000

Premarket Details#

Submission, Supplement, Device table
SubmissionSupplementDeviceApplicantDecision dateProduct code
K250119000Tempus ECG-Low EFTempus AI, Inc.2025-07-15QYE

Identifiers And Packaging#

Identifier, Type, Agency table
IdentifierTypeAgencyPackage quantityStatus
00860011843610PrimaryGS10

Alternate GTIN / UPC / EAN Codes

Source identifier, GTIN-14 normalized, UPC-A table
Source identifierGTIN-14 normalizedUPC-AEAN-13
00860011843610008600118436108600118436100860011843610

GMDN Terms#

Term, Definition table
TermDefinition
Cardiopulmonary physiological parameter analysis softwareA software program designed to add image processing and/or data analysis capabilities to a computer/workstation for the interpretation and/or screening of cardiopulmonary physiological parameters [e.g., electrocardiogram (ECG), blood pressure, vital capacity (VC)]; data may be uploaded, or collected in real-time by connection (e.g., wired, Bluetooth) to other devices for spot-checks and/or continuous monitoring. It is intended for use exclusively by healthcare professionals and may provide risk assessment for cardiopulmonary events [e.g., acute myocardial infarction (AMI)] or screen for specific conditions (e.g., low ejection fraction). It might include machine learning (ML) technology.

Sterilization Methods#

Method table
Method

Contacts#

Phone, Email table
PhoneEmail
800-739-4137support@tempus.com

Regulatory Flags#

DUNS number
080037051
Device count
1
Lot or batch
true

Other Devices From This Company#

Primary DI, Brand, Model table
Primary DIBrandModelCatalogPublished
00860011843603EGG-AF32024-09-04

Other Devices Sharing Product Codes#

Primary DI, Brand, Company table
Primary DIBrandCompanyProduct codePublished
00860013616823ECG-AI Low Ejection Fraction (LEF) 12-Lead algorithmAnumana, Inc.QYE2026-03-20
00850010298146ELEFT (Eko Low Ejection Fraction Tool)Eko Devices, Inc.QYE2025-03-17
00860007426445ECG-AI Low Ejection Fraction (LEF) 12-Lead algorithmAnumana, Inc.QYE2024-12-05
00860007426407ECG-AI LEF 12-Lead AlgorithmAnumana, Inc.QYE2024-01-15