| Device |
reduced ejection fraction machine learning-based notification software |
| 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. |
| Physical State |
Consists of one or more non-invasive physiological inputs, a machine learning based for disease detection or classification, and an output on the presence, absence, or likelihood of reduced ejection fraction. |
| Technical Method |
non-invasive physiological measurement(s) |
| Target Area |
Cardiovascular |
| Regulation Medical Specialty |
Cardiovascular |
| Review Panel |
Cardiovascular |
| Product Code | QYE |
| Premarket Review |
Office of Cardiovascular Devices
(OHT2)
Cardiac Electrophysiology, Diagnostics, and Monitoring Devices
(DHT2A)
|
| Submission Type |
510(k)
|
| Regulation Number |
870.2380
|
| Device Class |
2
|
| Total Product Life Cycle (TPLC) |
TPLC Product Code Report
|
| GMP Exempt? |
No
|
Summary Malfunction Reporting |
Ineligible |
| Implanted Device? |
No
|
| Life-Sustain/Support Device? |
No
|
| Third Party Review |
Not Third Party Eligible |