Skip to content
Web Asset HouseAI Prescribing Watch
Menu

Informational only. Not affiliated with any government agency. Verify details at the official source.

Devices · Caption Health, Inc

Caption Interpretation Automated Ejection Fraction Software

De NovoDEN220063RadiologyQVD

Caption Health, Inc is listed for Caption Interpretation Automated Ejection Fraction Software (DEN220063). The FDA list gives February 24, 2023 as the date of the final decision. The lead panel is Radiology, and the database link on the FDA list is the De Novo pathway. openFDA describes product code QVD as “Radiological Machine Learning Based Quantitative Imaging Software With Change Control Plan”: 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. openFDA records this submission’s decision description as “Unknown.” This paragraph is assembled only from those public fields. It is not an FDA review, not a determination of safety or effectiveness, and not medical advice. Official record: https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/denovo.cfm?id=DEN220063

Official FDA database record

Date of final decision
February 24, 2023
Company on the FDA list
Caption Health, Inc
Lead panel
Radiology
Primary product code
QVD
openFDA device name for the code
Radiological Machine Learning Based Quantitative Imaging Software With Change Control Plan
Device class
2
Regulation number
892.2055
openFDA decision description
Unknown
openFDA decision code
DENG
Statement or summary label
Not returned

Product-code text from openFDA

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.