Supported acquisition environment
Scanner manufacturers: All
exact submission · checked 2026-09-01Confirm currently supported software versions, protocols, and site-specific acquisition configurations.
FDA-cleared profile
Koios Medical, Inc.
Koios DS is an artificial intelligence (AI)/machine learning (ML)-based computer-aided diagnosis (CADx) software device intended for use as an adjunct to diagnostic ultrasound examinations of lesions or nodules suspicious for breast or thyroid cancer. Koios DS allows the user to select or confirm regions of interest (ROIs) within an image representing a single lesion or nodule to be analyzed. The software then automatically characterizes the selected image data to generate an AI/ML-derived cancer risk assessment and selects applicable lexicon-based descriptors designed to improve overall diagnostic accuracy as well as reduce interpreting physician variability. Koios DS may also be used as an image viewer of multi-modality digital images, including ultrasound and mammography. The software includes tools that allow users to adjust, measure and document images, and output into a structured report. Koios DS software is designed to assist trained interpreting physicians in analyzing the breast ultrasound images of adult (>= 22 years) female patients with soft tissue breast lesions and/or thyroid ultrasounds of all adult (>= 22 years) patients with thyroid nodules suspicious for cancer. When utilized by an interpreting physician who has completed the prescribed training, this device provides information that may be useful in recommending appropriate clinical management. Limitations: Patient management decisions should not be made solely on the results of the Koios DS analysis. Koios DS software is not to be used for the evaluation of normal tissue, on sites of post-surgical excision, or images with doppler, elastography, or other overlays present in them. Koios DS software is not intended for use on portable handheld devices (e.g. smartphones or tablets) or as a primary diagnostic viewer of mammography images. The software does not predict the presence of the thyroid nodule margin descriptor, extra-thyroidal extension. In the event that this condition is present, the user may select this category manually from the margin descriptor list.
Clinical fit
Start with the authorized purpose, then verify how it fits your service line and reading workflow.
Intended-user text reported in the exact-submission ACR model card.
Patient-population text reported in the exact-submission ACR model card; institutional setting may still require vendor confirmation.
Conservative normalization of explicit wording in an exact-submission source.
Conservative normalization of explicit wording in an exact-submission source.
Clinical output reported in the exact-submission ACR model card.
Limitations and supported-acquisition details reported in the exact-submission ACR model card.
Regulatory identity
The FDA listing establishes the regulatory identity. It does not by itself establish local workflow fit, pricing, security, or performance in your environment.
Implementation
Use these fields to structure a vendor demo, security review, and implementation estimate.
Normalized from the prior exact-submission review. Confirm interface versions and local compatibility during technical evaluation.
Deployment category preserved from the prior exact-submission review; hosting region, data flow, and current commercial configuration still require vendor confirmation.
Exact-release security controls, data retention, hosting boundaries, and scoped assurance documentation require vendor confirmation.
Current training prerequisites, competency checks, and support commitments for the exact configuration require vendor confirmation.
Current drift, quality, uptime, alert, escalation, and incident-response commitments for the exact configuration require vendor confirmation.
Scanner manufacturers: All
exact submission · checked 2026-09-01Confirm currently supported software versions, protocols, and site-specific acquisition configurations.
ACR AI Central provides an exact-submission model card for Koios DS; FDA labeling remains controlling for clinical use, limitations, and performance.
exact submission · checked 2026-09-08Evidence
Metrics are shown only when they are tied to a source, endpoint, population, and tested product version.
Structured study metadata from the exact-submission ACR model card; this is not an independent evidence synthesis.
Values reported in the exact-submission materials. Consult the linked source for endpoint, threshold, population, and confidence interval before comparison.
Values reported in the exact-submission materials. Consult the linked source for endpoint, threshold, population, and confidence interval before comparison.
No contextualized exact-version metric has completed evidence review. Regulatory-document values, when available, are shown above with their limitations.
Reader Study · Adult
exact submission · Tested version: Exact product version not reported; regulatory study summarized for FDA submission K212616 · Independence not establishedK212616
ACR AI Central summarizes the regulatory study; consult the exact FDA materials before comparative use.
Economics and lifecycle
These are common procurement questions; unknown values remain visible until a source supports them.
No public price or quote for the exact K212616 configuration was established in this review.
No exact-product payer policy, coding instruction, or payment determination was established; eligibility must be evaluated by payer, site of service, and use case.
Safety and lifecycle
Recall and adverse-event records are shown only after product matching. Adverse-event reports do not establish incidence or causality.
Buyer worksheet
Research record
This audit distinguishes completed source review from fields that have not yet been researched.
Exact-submission ACR model-card fields were normalized under the current provenance rules; vendor and independent-study confirmation remain distinct. Exact FDA scope controls clinical claims. ACR and official vendor material provide bounded catalog or product-family context. Candidate literature metadata remains a discovery queue until full-text identity, endpoint, population, and version review is completed. Automated exact-name discovery found 14 PubMed and 0 ClinicalTrials.gov candidate records. Candidates require human product and version matching; zero candidates is not evidence that no studies exist. Native FDA recall identifiers produced 0 postmarket candidate records; 0 have been reviewed (0 published, 0 rejected) and 0 remain unreviewed.
Candidate leads remain unpublished until a human confirms the exact product and tested version.
Source classes: fda ai list, fda decision summary, acr ai central product, fda device recall, literature index, trial registry, pubmed, clinical trials, openfda device recall
Sources
Sources accessed through 2026-09-08.
Alternatives
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