tempus.comTempus ECG-Low EF
Tempus AI, Inc.
TEMPUS AI, Inc.
FDA Registration(s)#
| Registration | FEI | Name | Status | Initial importer | Expiration year | Address |
|---|---|---|---|---|---|---|
| 3013200421 | 3013200421 | TEMPUS AI, Inc. | 1 | N | 2026-01-01 | 600 W Chicago Ave #510 Chicago IL US 60654 |
GUDID Contact Samples#
| Source GUDID | Product | Phone | |
|---|---|---|---|
| 00860011843603 | EGG-AF - Tempus ECG-AF is a cardiovascular machine learning-based notification software intended to analyze recordings of 12-lead ECG devices from patients 65 years of age and older. The software employs machine learning techniques to analyze ECG recordings and detect signs associated with a patient experiencing atrial fibrillation and/or atrial flutter (collectively referred to as AF) within the next 12 months. The device is designed to extract otherwise unavailable information from ECGs conducted under the standard of care, to help health care providers better identify patients who may be at risk for undiagnosed AF in order to evaluate them for referral of further diagnostic follow up and address the unmet need of reducing the number of undiagnosed AF patients. | 800-739-4137 | support@tempus.com |
Registered Device Listings#
| Registration key | Listing key | Premarket submission | Device | Product code | Decision date |
|---|---|---|---|---|---|
| 317722 | 1097727202 | P210011 | xT CDx | PQP | 2023-04-28 |
| 317722 | 1634462830 | K250119 | Tempus ECG-Low EF | QYE | 2025-07-15 |
| 317722 | 1180396519 | K241868 | xR IVD | PZM | 2025-09-19 |
| 317722 | 1147393594 | K233549 | Tempus ECG-AF | SBQ | 2024-06-21 |
Product Codes Associated With Registrations#
PMN#
Tempus ECG-AF
Tempus AI, Inc.
GUDID#
Tempus ECG-Low EF - 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.
2025-07-24
EGG-AF - Tempus ECG-AF is a cardiovascular machine learning-based notification software intended to analyze recordings of 12-lead ECG devices from patients 65 years of age and older. The software employs machine learning techniques to analyze ECG recordings and detect signs associated with a patient experiencing atrial fibrillation and/or atrial flutter (collectively referred to as AF) within the next 12 months. The device is designed to extract otherwise unavailable information from ECGs conducted under the standard of care, to help health care providers better identify patients who may be at risk for undiagnosed AF in order to evaluate them for referral of further diagnostic follow up and address the unmet need of reducing the number of undiagnosed AF patients.
2024-09-04