Submission Details
| 510(k) Number | K232699 FDA.gov |
| FDA Decision | Cleared SESE |
| Date Received | September 05, 2023 |
| Decision Date | September 28, 2023 |
| Days to Decision | 23 days |
| Submission Type | Traditional |
| Review Panel | Cardiovascular (CV) |
| Summary | Summary PDF |
K232699 is an FDA 510(k) clearance for the Low Ejection Fraction AI-ECG Algorithm, a Reduced Ejection Fraction Machine Learning-based Notification Software (Class II — Special Controls, product code QYE), submitted by Anumana, Inc. (Cambridge, US). The FDA issued a Cleared decision on September 28, 2023, 23 days after receiving the submission on September 5, 2023. This device falls under the Cardiovascular review panel. Regulated under 21 CFR 870.2380.
| 510(k) Number | K232699 FDA.gov |
| FDA Decision | Cleared SESE |
| Date Received | September 05, 2023 |
| Decision Date | September 28, 2023 |
| Days to Decision | 23 days |
| Submission Type | Traditional |
| Review Panel | Cardiovascular (CV) |
| Summary | Summary PDF |
| Product Code | QYE — Reduced Ejection Fraction Machine Learning-based Notification Software |
| Device Class | Class II — Special Controls |
| CFR Regulation | 21 CFR 870.2380 |
| Definition | Reduced Ejection Fraction Machine Learning-based Notification Software Employs Machine Learning Techniques To Suggest The Likelihood Of A Reduced Ejection Fraction For Further Referral Or Diagnostic Follow-up. |