510(k) Report

FDA product code · Radiology

Radiological Machine Learning Based Quantitative Imaging Software With Change Control Plan

QVDClass II21 CFR 892.2055510(k) required1 decision since 20230 recalls

1 FDA decision since 2023. No recall names this code.

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…

Data to Oct 25, 2026 (FDA decisions) Oct 12, 2026 (recalls) Sep 30, 2026 (MAUDE) refreshed weekly, last Nov 3, 2026 Download the data (CSV)

FIG. A — Illustration, radiology panel

Twenty years of QVD at a glance: how often FDA decides these devices, how long 510(k) reviews take, how often they are recalled, and how many adverse event reports name the code.

FDA decisions per year · QVD

1in 2023

2023: 1
2007high 1 (2023) · low 0 (2007)2026

2026 to Oct 25, outlined.

Median 510(k) review, days · QVD

Too few QVD 510(k)s in any year since 2007 to give a median.

Recalls per year · QVD

No recall names QVD since 2007.

Adverse event reports per year · QVD

No MAUDE report names QVD since 2007.

View these four charts as a table
YearDecisionsMedian 510(k) review, daysRecalls (Class I)MAUDE reports
20070—00
20080—00
20090—00
20100—00
20110—00
20120—00
20130—00
20140—00
20150—00
20160—00
20170—00
20180—00
20190—00
20200—00
20210—00
20220—00
20231—00
20240—00
20250—00
20260—0—
FIG. 1 — QVD by year, 2007–2026Sources: FDA decision databases, recall and enforcement reports, MAUDE · Data through Oct 25, 2026

Planning a device in QVD? A 510(k) Report ranks candidate predicates in this code by lineage, citations and recall history, with the review-time outlook.

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