Submission Details
| 510(k) Number | K231398 FDA.gov |
| FDA Decision | Cleared SESE |
| Date Received | May 15, 2023 |
| Decision Date | October 04, 2023 |
| Days to Decision | 142 days |
| Submission Type | Traditional |
| Review Panel | Radiology (RA) |
| Summary | Summary PDF |
K231398 is an FDA 510(k) clearance for the VUNO Med-DeepBrain. This device is classified as a Automated Radiological Image Processing Software (Class II — Special Controls, product code QIH).
Submitted by Vuno, Inc. (Seoul, KR). The FDA issued a Cleared decision on October 4, 2023, 142 days after receiving the submission on May 15, 2023.
This device falls under the Radiology FDA review panel. Regulated under 21 CFR 892.2050. To Provide Automated Radiological Image Processing And Analysis Tools. Software Implementing Artificial Intelligence Including Nonadaptive Machine Learning Algorithms Trained With Clinical And/or Artificial Data. In These Devices, The Algorithm Training Data Typically Impacts Device Performance. Adaptive Ai Algorithms Are Not Within Scope Of This Product Code..
| 510(k) Number | K231398 FDA.gov |
| FDA Decision | Cleared SESE |
| Date Received | May 15, 2023 |
| Decision Date | October 04, 2023 |
| Days to Decision | 142 days |
| Submission Type | Traditional |
| Review Panel | Radiology (RA) |
| Summary | Summary PDF |
| Product Code | QIH — Automated Radiological Image Processing Software |
| Device Class | Class II — Special Controls |
| CFR Regulation | 21 CFR 892.2050 |
| Definition | To Provide Automated Radiological Image Processing And Analysis Tools. Software Implementing Artificial Intelligence Including Nonadaptive Machine Learning Algorithms Trained With Clinical And/or Artificial Data. In These Devices, The Algorithm Training Data Typically Impacts Device Performance. Adaptive Ai Algorithms Are Not Within Scope Of This Product Code. |