510(k) DEN220063
Clearance Details
- Decision
- DENG (De Novo Granted)
- Decision Date
- February 24, 2023
- Date Received
- September 28, 2022
- Clearance Type
- Direct
- Expedited Review
- No
- Third Party Review
- No
Device Classification
- Device Name
- Radiological Machine Learning Based Quantitative Imaging Software With Change Control Plan
- Device Class
- Class II
- Regulation Number
- 892.2055
- Review Panel
- RA
- Submission Type
A radiological machine learning quantitative imaging software with predetermined change control plan is a software-only device which employs machine learning algorithms on radiological images to provide quantitative imaging outputs. The device includes functions to support outputs such as view selection, segmentation and landmarking. The design specifications include planned modifications that may be made to the device consistent with an established predetermined change control plan.