Aidocvs
Lunit


Lunit: Lunit is the stronger option where the priority is mammography and chest radiography screening rather than acute triage

FDA cleared radiology AI for triage and notification of time critical findings
As of 1 September 2026, Aidoc's pricing is not published; the vendor quotes on request. Aidoc runs algorithms over CT and X-ray studies as they arrive and flags suspected time critical findings for prioritised review. Softwr lists it under Healthcare. Aidoc is made by Aidoc Medical, available on Web, iOS, Android.
Overview
Aidoc is an Israeli radiology artificial intelligence company selling algorithms that analyse imaging studies at the point they land in the archive and flag suspected findings. Its cleared indications cover intracranial haemorrhage on head CT, pulmonary embolism including incidental pulmonary embolism, large vessel occlusion, cervical spine fracture, pneumothorax on chest X-ray, intra abdominal free gas and brain aneurysm. It also sells the aiOS platform layer, which orchestrates multiple algorithms including third party ones over one integration to the PACS. The regulatory wording is the thing that decides how it can be used. Aidoc clearances are 510(k) clearances for computer aided triage and notification, in the FDA CADt category. That means the software may reorder a worklist and send a notification, and it may not provide a diagnostic interpretation or be relied upon as the primary read. A radiologist must still read every study. Sites that pitch Aidoc internally as a way to reduce reading volume are describing a use the clearance does not permit, and this is the single most common source of failed business cases. Buyers are hospitals and radiology groups, usually funded by a stroke, trauma or cardiovascular service line rather than by radiology itself, because the measurable benefit is time to treatment for the receiving specialty. The trade off is that a triage algorithm tuned for sensitivity produces false positives, and every false positive costs a radiologist an interruption. Sites that do not measure their own positive predictive value in their own population find that clinicians stop trusting the notifications within months.
The honest half
Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Aidoc.
Cross-shopped
Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.


Lunit: Lunit is the stronger option where the priority is mammography and chest radiography screening rather than acute triage


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Pricing
Taken from the vendor's own pricing page. Prices move, so check before you buy.
Aidoc
On request
Capabilities
Triage and notification
Flags suspected time critical findings and elevates the study in the radiologist worklist with a notification
Intracranial haemorrhage
Cleared algorithm for flagging suspected acute intracranial haemorrhage on non contrast head CT
Pulmonary embolism
Cleared for both suspected and incidental pulmonary embolism on CT, the latter catching findings on scans ordered for another reason
Large vessel occlusion
Flags suspected LVO to support stroke pathway activation
Pneumothorax on X-ray
Cleared algorithm for flagging suspected collapsed lung on chest radiographs
aiOS platform
Single integration layer that runs Aidoc and third party algorithms over one PACS connection
Clinical workflow notifications
Pushes alerts to care teams and mobile devices so the receiving specialty is activated before the formal report
Answered, with sources
Each answer names the page it came from, so you can check it rather than take our word for it.
Yes, it holds multiple 510(k) clearances, but they are for computer aided triage and notification. It may prioritise a worklist and notify a team. It may not provide a diagnostic interpretation or replace a radiologist read.
No. Every study still needs a full read. The benefit is in the order studies are read and how quickly a receiving specialty is activated, not in reading fewer studies.
Yes, that is what the aiOS platform layer is for, and for health systems with several AI vendors it is often the main reason to buy Aidoc at all.
No. It is quoted per algorithm and by annual study volume, and enterprise bundles are negotiated case by case.
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Softwr does not host reviews and shows no star rating for Aidoc, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.
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