Skip to content
Web Asset HouseAI Prescribing Watch
Menu

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

Devices · AZmed

Rayvolve

510(k)K260378RadiologyQBS

AZmed is listed for Rayvolve (K260378). The FDA list gives May 12, 2026 as the date of the final decision. The lead panel is Radiology, and the database link on the FDA list is the 510(k) pathway. openFDA describes product code QBS as “Radiological Computer Assisted Detection/Diagnosis Software For Fracture”: A radiological computer assisted detection and diagnostic software for suspected fracture is an image processing device intended to aid in the detection, localization, and/or characterization of fracture on acquired medical images (e.g. radiography, MR, CT). The device detects, identifies and/or characterizes fracture based on features or information extracted from images, and may provide information about the presence, location, and/or characteristics of the fracture to the user. Primary diagnostic and patient management decisions are made by the clinical user. openFDA records this submission’s decision description as “Substantially Equivalent.” 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/pmn.cfm?ID=K260378

Official FDA database record

Date of final decision
May 12, 2026
Company on the FDA list
AZmed
Lead panel
Radiology
Primary product code
QBS
openFDA device name for the code
Radiological Computer Assisted Detection/Diagnosis Software For Fracture
Device class
2
Regulation number
892.2090
openFDA decision description
Substantially Equivalent
openFDA decision code
SESE
Statement or summary label
Summary

Product-code text from openFDA

A radiological computer assisted detection and diagnostic software for suspected fracture is an image processing device intended to aid in the detection, localization, and/or characterization of fracture on acquired medical images (e.g. radiography, MR, CT). The device detects, identifies and/or characterizes fracture based on features or information extracted from images, and may provide information about the presence, location, and/or characteristics of the fracture to the user. Primary diagnostic and patient management decisions are made by the clinical user.

Other listings for this company