FDA record research

Radiological Computer-Assisted Prioritization Software For Lesions (QFM) — FDA decisions, comparisons and evidence

The 2021–2025 analysis contains 31 selected substantially-equivalent FDA decisions under primary product code QFM. Use it to compare documented submissions and evidence with your product. A separate 2026 update contains 2 decisions through 2026-09-27. The latest selected decision across the acquired endpoint is dated 2026-07-08. Neither set establishes a suitable predicate or the route for your device. The complete-year window has 31 decisions; the separate all-observed-date count is 41. These denominators describe different date ranges.

Evidence retrieved 2026-10-07. Source versions and topic-specific limits are listed below.

Recorded scope and its declared regulatory reference

An exact FDA-record regulation_number match to one acquired Title 21 section. Records with the same normalized scope definition, class, regulation and recorded submission/GMP flags are grouped. Sparse definitions and generic exemption boilerplate do not qualify. No text-similarity equivalence or legal applicability is inferred.

What scope does the FDA record describe?

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.

Compare the proposed indication, user, anatomy, technology and operating principle with this actual scope; record differences and unresolved facts.

Cited source

Which current section does the record cite?

§ 892.2080 Radiological computer aided triage and notification software. (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]

Read the identification, classification, conditions and referenced limitations in the cited section. A numeric reference match is not a buyer classification or exemption determination.

Cited source

Historical FDA comparison

2021–2025: five complete calendar years

Primary code QFM

All statistics in this section use decisions dated 2021-01-01 to 2025-12-31. The partial 2026 update below is excluded from these distributions.

31Selected decisions in these five years
144.0Median receipt-to-decision calendar days
31Valid date pairs in the distribution

The middle 50% of the 31 valid date pairs spans 95.0–209.5 calendar days. This describes selected recorded submissions, including elapsed time outside active FDA review. It is not an FDA review-time measure or a delivery promise.

20215
20229
20238
20246
20253

Compare like submission types

Recorded typeDecisionsValid date pairsMedian calendar daysMiddle 50%
Abbreviated11Withheld: n < 20—
Special33Withheld: n < 20—
Traditional2727159.0122.0–226.5

Different submission types and evidence packages are not interchangeable. These selected records do not establish that a particular route is available for your product.

Statistical source: FDA openFDA 510(k) decision dataset. Partition 1 Download the identified records and dates (CSV).

Filters, exclusions and reproducible calculation

Deduplicate by official submission ID across the complete current manifest partitions. Select exact primary product code, K-number format and the stated SE decision codes with valid dates. Recent distributions use the five complete calendar years preceding the latest valid endpoint decision year. Partial-year counts compare equal January-to-cutoff periods. Quartiles use linear interpolation at (n-1)*p and are withheld below 20 valid date pairs. The analysis n describes only its declared complete-year window; selected_se_n separately counts all selected recorded dates through the cutoff.

41 selected records across all observed dates; 0 other/invalid identifier or decision-date records excluded. 0 missing or invalid date pairs in the five-year window.

Date fields: date_received → decision_date. Quantiles: Hyndman–Fan type 7: linear interpolation at (n − 1) × p; displayed to one decimal; n ≥ 20 valid pairs.

Receipt-to-decision calendar elapsed time includes time outside active FDA review; it is not FDA review time, a promised project timeline or an estimate of future clearance. This selected recorded cohort does not include all applications or establish a success probability, predicate suitability, market size, current market availability or legal authorization for another product.

Calculation fda-buyer-research-3 · database cutoff 2026-09-27. CSV rows identify each official K-number, cohort, date pair, exclusion reason and source version.

Separate partial-year update

2026 decisions through 2026-09-27

2 selected decisions from 2026-01-01 to 2026-09-27. The equivalent previous-year period contains 2 decisions through 2025-09-27. These counts describe the records; they are not market growth or submission success rates.

Named records to investigate

Latest decisions across the database

These dated records may come from 2026 or earlier years. They are a separate investigation list, not the five-year statistical cohort. Compare the actual indications and technology before considering a record as a comparator.

Official record / deviceRecorded applicantDecisionRecorded typeCalendar days
K253751 ↗CXRDetectAINeurocareai, Inc. (Dba Savelife.Ai)2026-07-08Traditional225
K252954 ↗MammoSightAINeurocareai, Inc. (Dba Savelife.Ai)2026-05-04Traditional230
K252482 ↗CogNet AI-MT+Medcognetics, Inc.2025-12-11Traditional126
K250831 ↗Annalise EnterpriseAnnalise-Ai2025-04-23Special35
K243808 ↗Rayvolve PTX-PEAZmed2025-03-21Traditional100
K243548 ↗BriefCase-TriageAidoc Medical , Ltd.2024-12-11Special26
K241439 ↗VUNO Med-Chest X-ray Triage/VUNO Med-CXR Link TriageVuno, Inc.2024-11-15Traditional178
K240612 ↗CINA-VCFAvicenna.Ai2024-05-31Traditional87

Supporting documents actually acquired

Go beyond the database row

Read the source context, then compare the evidence with your design. Topic locations below are text matches, including possible limitations or negative statements; they are not a mandatory test list.

The documents are a bounded sample of acquired summaries, not complete evidence coverage of the cohort.

Recorded classification context

Known context: US. Match the intended use and design with the recorded category before treating it as applicable.

Source factRecorded value
FDA product codeQFM [1]
Generic device categoryRadiological Computer-Assisted Prioritization Software For Lesions [1]
Recorded scopeRadiological 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. [1]
Recorded class2 [1]
Regulation892.2080 [1]
Medical specialtyRadiology [1]

Build a comparison that explains the differences

Use this checklist to gather your business or product details before speaking with a specialist. The items below explain what to record and suggest useful supporting documents. You can add your own answers in the editable project brief.

  1. Which specific part of the recorded scope fits or differs?

    Put your proposed label and design beside the quoted definition. Record matching facts, differences and missing facts separately; naming the category alone cannot resolve scope.

    Useful evidence: Proposed indication/design and a definition-to-product comparison with source locators.

  2. Have the cited section and its limitations been reviewed?

    Record the applicable paragraph, conditions and cross-referenced limitations after specialist review. Keep a claimed exemption separate from actual establishment, listing and quality-system responsibilities.

    Useful evidence: Dated classification/route rationale and the current provisions relied on, with unresolved conditions.

  3. Compare your intended use with a named decision

    Choose a named record above. Put your proposed claim beside its actual indications-for-use statement. Record different patients, users, anatomy, settings and output claims; do not treat a shared code as proof of equivalence.

    Useful evidence: Your draft indications for use + the selected official summary and its exact page.

  4. Explain the technology and evidence differences

    For each comparison, record the different materials, hardware, software functions and operating conditions. Link each difference to existing evidence or an unresolved evaluation task.

    Useful evidence: A three-column matrix: comparator fact / your design fact / evidence or unresolved gap.

  5. Make the estimate comparable

    Use the 2021–2025 cohort, and compare the recorded submission type before discussing calendar elapsed time. Separate your own preparation work from the recorded receipt-to-decision period.

    Useful evidence: Chosen K numbers, submission types, dates and your own document/test readiness.

Work packages and dependencies

What needs to happen first

Questions for providers

Sources and data dates

Read the official document in context. The audit details identify the precise locators and preserved versions used for this page.

FDA openFDA — device classification records ↗

2026-10-05 · retrieved 2026-10-06

Audit details: precise locators and snapshot identifiers

Source key D01 · snapshot 936de5f5d47b9293b702fc32512a79173969fb788c74a63d9b91abe73f3b86a5

  • [1] device-classification-0001-of-0001.json:results[4948] · record f9d7b8d29c0a09d47b3766c461db0f6fd354de2f0ee170d16d6432d5a8a21e4c

FDA 510(k) summary — K253751 ↗

Fri, 07 Aug 2026 21:32:52 GMT · retrieved 2026-10-06

Audit details: precise locators and snapshot identifiers

Source key D02 · snapshot 084c17ca15c08fde7a175482d7e121601372cc298cb0086831b33e4a6cf8ff00

  • [2] PDF page 10 · record 1eef2b1e5991c0083e79f8321c11526ef99636eff4656e1c77f030375a3517a6

FDA 510(k) summary — K252954 ↗

Tue, 02 Jun 2026 13:23:20 GMT · retrieved 2026-10-07

Audit details: precise locators and snapshot identifiers

Source key D02 · snapshot 178c2d7e57e0aec1b9037cc14830cf467300b47925428c2d53c2772e6c1f087c

  • [4] PDF page 10 · record 42b650f9e320b6f808461dc29750bf538981441cafe5eee5e53fbde2a302a938
  • [5] PDF page 13 · record 87449b506fdd253b83dd99dbaa4a7dfbd4d9692a46b887234bc4026ed6b4e6f4

FDA 510(k) summary — K252482 ↗

Thu, 08 Jan 2026 13:33:13 GMT · retrieved 2026-10-07

Audit details: precise locators and snapshot identifiers

Source key D02 · snapshot bf3da199e575bd32beac4f17456f60fe89f679acd3db08d50617a60e64cfc083

  • [6] PDF page 7 · record dbc8bfcdaa113c6017e470c3e1785621cb4a9cb53e2ea8cd7c3eac6e11387eb1
  • [7] PDF page 11 · record d4b1bc999cf884509b5afa1d99ae1a8595b31342fa24083985d111ce77920b03

Prepare an editable project brief

Confirm the facts, scope and contact preference before sharing your project. Preparing this page sends no provider outreach.

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