FDA PRODUCT CODE · CLASS II
QFM — Radiological Computer-Assisted Prioritization Software For Lesions
Radiological computer-assisted prioritization software for lesions is an image processing device intended to aid in prioritization and triage of time sensitive patient detection and diagnosis based on the analysis of medical images acquired from radiological signal acquisition systems. The device identifies or prioritizes time sensitive imaging for review by prespecified clinical users based on software-based image analysis but does not provide information from the image analysis other than triage and notification.
What these counts are not
Clearance and recall counts are SPEQ’s aggregation of FDA’s own published records for the code. A recall count is a measure of history, not of a device’s safety, neither number is an FDA rating, and SPEQ is not affiliated with the FDA.
What this classification requires
Every statement below is FDA’s own classification record for this product code, quoted from the device classification field reference. The SPEQ reading beneath each one is SPEQ’s interpretation of what it means for the work, and is not FDA text.
510(K)
SPEQ READINGA premarket notification under 21 CFR Part 807 Subpart E is the route for this code. The submission argues substantial equivalence to a legally marketed predicate, so the engineering question is which predicate the design can actually be compared against, and the evidence question is what testing supports that comparison.
Class II (moderate to high risk): general controls and special controls
SPEQ READINGSpecial controls are the distinguishing feature: performance standards, guidance documents, patient registries or postmarket surveillance named for the device type. Find the special controls before designing the test plan — they usually name the tests.
Device is not eligible for The Voluntary Malfunction Summary Reporting Program
SPEQ READINGIndividual malfunction reporting under 21 CFR Part 803 applies. The complaint-handling system has to produce a decision per event, not per period.
Not exempt due to Good Manufacturing Practice (GMP)/Quality System
SPEQ READINGThe full Quality Management System Regulation (21 CFR 820, incorporating ISO 13485:2016) applies, and is what an FDA inspection of this device will be conducted against.
Device is not implantable
SPEQ READINGNo implant-specific expectations attach from the classification itself.
Device is not used for life sustaining purposes
SPEQ READINGNo life-sustaining designation attaches to this code.
Device is not a candidate for a third party review program
SPEQ READINGFDA reviews any premarket notification for this code directly.
Other product codes under 21 CFR 892.2080
One regulation usually governs several product codes. These share this code’s regulation, and therefore its classification basis.
21 CFR 892.2080 — Radiological computer aided triage and notification software
The classification regulation for this product code, as published by the Office of the Federal Register. This is the regulation text itself — no SPEQ interpretation appears in it.
(a) Identification. Radiological computer aided triage and notification software is an image processing prescription device intended to aid in prioritization and triage of radiological medical images. The device notifies a designated list of clinicians of the availability of time sensitive radiological medical images for review based on computer aided image analysis of those images performed by the device. The device does not mark, highlight, or direct users' attention to a specific location in the original image. The device does not remove cases from a reading queue. The device operates in parallel with the standard of care, which remains the default option for all cases.
(b) Classification. Class II (special controls). The special controls for this device are: (1) Design verification and validation must include: (i) A detailed description of the notification and triage algorithms and all underlying image analysis algorithms including, but not limited to, a detailed description of the algorithm inputs and outputs, each major component or block, how the algorithm affects or relates to clinical practice or patient care, and any algorithm limitations.
(ii) A detailed description of pre-specified performance testing protocols and dataset(s) used to assess whether the device will provide effective triage ( e.g., improved time to review of prioritized images for pre-specified clinicians).
(iii) Results from performance testing that demonstrate that the device will provide effective triage. The performance assessment must be based on an appropriate measure to estimate the clinical effectiveness. The test dataset must contain sufficient numbers of cases from important cohorts ( e.g., subsets defined by clinically relevant confounders, effect modifiers, associated diseases, and subsets defined by image acquisition characteristics) such that the performance estimates and confidence intervals for these individual subsets can be characterized with the device for the intended use population and imaging equipment.
(iv) Stand-alone performance testing protocols and results of the device.
(v) Appropriate software documentation ( e.g., device hazard analysis; software requirements specification document; software design specification document; traceability analysis; description of verification and validation activities including system level test protocol, pass/fail criteria, and results).
(2) Labeling must include the following: (i) A detailed description of the patient population for which the device is indicated for use; (ii) A detailed description of the intended user and user training that addresses appropriate use protocols for the device; (iii) Discussion of warnings, precautions, and limitations must include situations in which the device may fail or may not operate at its expected performance level ( e.g., poor image quality for certain subpopulations), as applicable; (iv) A detailed description of compatible imaging hardware, imaging protocols, and requirements for input images; (v) Device operating instructions; and (vi) A detailed summary of the performance testing, including: test methods, dataset characteristics, triage effectiveness ( e.g., improved time to review of prioritized images for pre-specified clinicians), diagnostic accuracy of algorithms informing triage decision, and results with associated statistical uncertainty ( e.g., confidence intervals), including a summary of subanalyses on case distributions stratified by relevant confounders, such as lesion and organ characteristics, disease stages, and imaging equipment. [85 FR 3544, Jan. 22, 2020]
Source: Electronic Code of Federal Regulations, Title 21. 21 CFR is a work of the United States Government and is in the public domain. SPEQ read this section on October 22, 2026. CFR is amended continuously, so verify against the source before acting on it: read 21 CFR 892.2080 on eCFR →
Recent clearances
Source: FDA device classification, 510(k)/PMA, and recall datasets. Recall entries count distinct FDA recall numbers, so one recall event affecting several products appears as several entries. Browse every product code SPEQ tracks →