510(k) Report

510(k) · Cleared

Cleared

NinesAI

K193351510(k) TraditionalCleared Apr 21, 2020140-day reviewClass II21 CFR 892.2080

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

Nines, Inc. · QAS Radiological Computer-Assisted Triage And Notification Software

Cleared on Apr 21, 2020 as substantially equivalent to K180647 (Aidoc Medical, Ltd., 2018) after a 140-day review. Its family tree reaches back 2 generations to 2018. 1 later device descends from it.

Decided
Apr 21, 2020
Review
140 days
Class
Class II
Product code
QAS
Recalls
None
Predicates
1

Its longest line of descent runs back 2 generations to DEN170073 (2018). 1 later device descends from it, 1 citing it directly.

Descendants, by year cleared 2023: 1 descendant clearedDEN170073 · ContaCT · Viz.Al, Inc. · 2018K180647 · BriefCase · Aidoc Medical, Ltd. · 2018201620182020202220242026
Descendants, by generation 1 generation forward: 1 descendant K180647 · BriefCase · Aidoc Medical, Ltd. · 2018DEN170073 · ContaCT · Viz.Al, Inc. · 20180
  1. Root · 2 generations backDEN170073 ContaCTViz.Al, Inc. · 2018
  2. 1 generation backK180647 BriefCaseAidoc Medical, Ltd. · 2018
  3. This deviceK193351 NinesAINines, Inc. · 2020
  4. Descendant · cites it directly · 0 of its ownK231384 Annalise Enterprise CTB Triage TraumaAnnalise-Ai Pty, Ltd. · 2023

Most influential descendants

Showing 1 of 1 · See all
  • K231384Annalise Enterprise CTB Triage TraumaAnnalise-Ai Pty, Ltd. · 2023 · cites it directly0descendants
View FIG. 1 as a table

Line of descent and top descendants

GenerationNumberDeviceApplicantDecidedRecalls
−2DEN170073ContaCTViz.Al, Inc.2018—
−1K180647BriefCaseAidoc Medical, Ltd.2018—
0 (this device)K193351NinesAINines, Inc.2020—
+1K231384Annalise Enterprise CTB Triage TraumaAnnalise-Ai Pty, Ltd.2023—

Descendants by year cleared

Year clearedDevicesWith a Class I recall
202310
FIG. 1 — Lineage of K193351, 2018–2023Source: FDA 510(k) summaries, read by 510(k) Report · How lineage is built

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Notable FDA decisions, review times and new Class I recalls. See an issue.

Sources: FDA 510(k) database (decision fields), the FDA summary (predicates and indications), FDA recall and enforcement reports, and MAUDE; processed by 510(k) Report. Verify on FDA.gov · Methodology and accuracy.

Planning a device in QAS? A 510(k) Report weighs predicate choices, recall history and review times for a new device like this one.

Top candidate predicates for a new QAS device

  1. #1 K203508 BriefCasescore 25.5 · 4 generations · no Class I recall
  2. #2 Held for the reportin the report
  3. #3 Held for the reportin the report
Get a 510(k) Report

What was it cleared against? (1)

Devices the submitter claimed this one is substantially equivalent to (*), and reference devices cited for a specific test or feature (†), as written in the FDA summary.

TypeNumberDeviceApplicantDecidedRecalls
*K180647BriefCase
Summary page 4
…cation Name: Radiological Computer-Assisted Triage and Notification Software Regulatory Class: Class II Product Code: QAS Predicate Device: Aidoc Medical’s BriefCase (K180647) Device Description NinesAl notifies a radiologist of the presence of a suspected critical abnormality in a radiological image.…
Aidoc Medical, Ltd.2018—

Also cleared against K180647: 11 other devices →

What descends from it? (1)

1 later device cites it directly; ranked here by how many devices descend from each in turn.

NumberDeviceApplicantDecidedDescendants
K231384Annalise Enterprise CTB Triage TraumaAnnalise-Ai Pty, Ltd.20230

Has anything in its family been recalled? (0 Class I)

No FDA recall names this device.

No ancestor or descendant has a Class I recall.

What does this lineage say?

  • The line of descent spans 2 years and passes through 3 companies; a new generation was cleared every 1.7 years on median.
  • None of the 2 ancestors has a recall.
  • Of its descendants, K231384 (Annalise-Ai Pty, Ltd., 2023) has gone furthest, with 0 descendants of its own.
  • 11 other devices also cite its predicate K180647.

How does its category compare?

All QAS devices

QAS Radiological Computer-Assisted Triage And Notification Software: FDA decisions, review times, recalls and adverse event reports over 20 years. 2020, this device’s year, is highlighted.

FDA decisions per year · QAS

15in 2025

2018: 32019: 52020: 122021: 52022: 152023: 112024: 122025: 152026 (partial year): 11
2007high 15 (2022) · low 0 (2007)2026

2026 to Oct 25, outlined.

Median 510(k) review, days · QAS

101in 2025

2019: 111 days median2020: 112 days median2021: 86 days median2022: 116 days median2023: 98 days median2024: 136 days median2025: 101 days median2026 (partial year): 104 days median
2007high 136 (2024) · low 86 (2021)2026

Receipt to decision; years with fewer than 3 clearances left blank.

Recalls per year · QAS

No recall names QAS since 2007.

Adverse event reports per year · QAS

No MAUDE report names QAS 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
20183—00
2019511100
20201211200
202158600
20221511600
2023119800
20241213600
20251510100
2026111040—

What is it indicated for?

NinesAI is a parallel workflow tool indicated for use by hospital networks and trained clinicians to identify images of specific patients to a radiologist, independent of standard of care workflow, to aid in prioritizing and performing the radiological review. NinesAI uses artificial intelligence algorithms to analyze head CT images for findings suggestive of a pre-specified emergent clinical condition. The software automatically analyzes Digital Imaging…

Read the full statement (186 words)

NinesAI is a parallel workflow tool indicated for use by hospital networks and trained clinicians to identify images of specific patients to a radiologist, independent of standard of care workflow, to aid in prioritizing and performing the radiological review. NinesAI uses artificial intelligence algorithms to analyze head CT images for findings suggestive of a pre-specified emergent clinical condition.

The software automatically analyzes Digital Imaging and Communications in Medicine (DICOM) images as they arrive in the Picture Archive and Communication System (PACS) using machine learning algorithms. Identification of suspected findings is not for diagnostic use beyond notification. Specifically, the software analyzes head CT images of the brain to assess the suspected presence of intracranial hemorrhage and/or mass effect and identifies images with potential emergent findings in a radiologist’s worklist.

NinesAI is intended to be used as a triage tool limited to analysis of imaging data and should not be used in-lieu of full patient evaluation or relied upon to make or confirm a diagnosis. Additionally, preview images displayed to the radiologist outside of the DICOM viewer are non-diagnostic quality and should only be used for informational purposes.

Indications for use as stated in the FDA summary.

Cite this page

510(k) Report. “K193351: NinesAI.” Lineage record from FDA 510(k) data and the FDA summary. Updated Nov 3, 2026. Accessed Nov 6, 2026. https://510kreport.com/device/K193351

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Record history
  • FDA decision record loaded May 2, 2026
  • Summary read Oct 13, 2026 (extraction version 9eaa42aa01ed)
  • Lineage and recalls computed Nov 3, 2026
  • Page last updated Nov 3, 2026