Compare · Aidoc and Viz.ai
Aidoc vs Viz.ai vs RapidAI: acute triage AI platforms compared
The short answer
Aidoc, Viz.ai and RapidAI all flag time-critical findings on CT and push an alert to a care team, but each was built around a different problem. Aidoc is the broadest: its January 2026 FDA clearance brings 14 body CT indications into one triage workflow. Viz.ai is a care coordination network built around the stroke pathway, and Viz LVO holds the first New Technology Add-on Payment CMS ever granted to AI software. RapidAI is the deepest in stroke imaging itself, spanning non-contrast CT, perfusion and vessel analysis. None of the three drafts your routine reports.
Most US groups shortlisting acute triage AI end up with these three names, and the comparison is harder than it looks because the products are not really competing on the same axis. Aidoc sells breadth: one platform, many cleared indications, run as a workflow layer across the health system. Viz.ai sells speed of coordination: the alert goes to the interventional team in parallel with the radiologist, so the clock starts earlier. RapidAI sells depth in one pathway: the imaging analysis that stroke decisions actually turn on.
The table below compares all three on published vendor material only, including the parts where each one wins. It is worth being clear about what is not in it. All three are triage and notification tools aimed at the urgent slice of the worklist. Radiological.ai sits in a different place, flagging suspected findings, prioritizing the worklist and drafting the structured report across X-ray, CT and MRI through the whole shift. It is decision support, and the radiologist reviews, edits and signs every study.
Last updated August 2026
Worklist
Structured report
DraftRun the assistant to draft this report for review.
Illustrative sample · not a real patient study, not a diagnosis
Decision support for qualified clinicians. Radiological.ai does not provide a diagnosis and is not a substitute for professional judgment.
Flag · prioritize · draft · you review and sign
Aidoc is the broadest triage platform, Viz.ai owns the coordinated stroke pathway and the only AI add-on payment, RapidAI is deepest in stroke imaging; all three stop at triage, while Radiological.ai carries the whole read through to a drafted report.
Side by side
Aidoc vs Viz.ai vs RapidAI, side by side
Compiled only from each company's own published announcements and product material. No column is the sales column, and each vendor leads on different rows.
| What you are comparing | Aidoc | Viz.ai | RapidAI |
|---|---|---|---|
| What it was built around | Broad multi-pathology triage across body CT | The acute stroke pathway and the team coordination around it | Stroke imaging analysis, starting from perfusion |
| Platform name | aiOS, running the CARE foundation model, which the company expands as Clinical AI Reasoning Engine | Viz.ai One | Rapid Edge Cloud, with Rapid Navigator Pro and mobile and web apps |
| Landmark FDA clearance | January 26, 2026, a comprehensive body CT triage solution the company describes as the first built on a healthcare foundation model | February 2018 De Novo for Viz LVO, the first computer-aided triage and notification software the FDA cleared | April 18, 2023 for Rapid NCCT Stroke, which the company describes as the first and only cleared device to flag suspected ICH and LVO from non-contrast CT |
| Breadth of cleared indications | 11 newly cleared indications combined with 3 previously cleared into a single workflow, 14 in total | Centered on stroke, extended into further vascular pathways | Five more modules cleared November 25, 2025: DeltaFuse, LMVO, MLS, OH and Aortic |
| Performance the vendor publishes | Pivotal study mean 97% sensitivity and 98% specificity, reported up to 98.5% and 99.7% | Reduced time to treatment, the basis of the CMS submission | Describes its CT and MR perfusion as the only such analysis clinically validated in randomized trials |
| Non-contrast CT entry point | Part of the body CT indication set | Not the entry point; LVO detection runs on CT angiography | Rapid NCCT Stroke is built for exactly this, before any contrast study |
| Medicare add-on payment | No AI-specific add-on payment published | Viz LVO received the first New Technology Add-on Payment CMS granted to any AI software, up to $1,040 per eligible patient, later renewed | No AI-specific add-on payment published |
| Deployment model | A centralized operating layer for running and scaling multiple cleared solutions | Cloud platform built around mobile alerting | Cloud-first with on-premise capability |
| How the alert reaches people | Through the aiOS workflow layer into existing clinical systems | Mobile-first alerts to the specialist team in parallel with the radiologist | PACS, email and mobile app |
| Scale the vendor claims | More than 100 million patient cases analyzed | No comparable figure in the material reviewed | Nearly 10 million scans across more than 2,000 hospitals |
| Report drafting | Breakthrough Device Designation granted June 2026 for First Read, which drafts preliminary chest radiograph report text. A designation is not a clearance and not yet a shipping product | Not a reporting product | Not a reporting product |
| Where it stops | Triage and notification; routine reads and report drafting sit outside it today | Triage and coordination; the report is still written elsewhere | Stroke imaging analysis; the rest of the worklist is untouched |
| Best suited for | Health systems standardizing many cleared AI tools on one platform | Hospitals whose bottleneck is getting the right specialist moving fast | Comprehensive stroke centers that want the deepest imaging analysis |
Compiled August 2026 from the Aidoc FDA clearance announcement of January 26, 2026 and the June 2026 Breakthrough Device Designation, the Viz.ai De Novo and CMS New Technology Add-on Payment announcements, and the RapidAI clearance announcements of April 18, 2023 and November 25, 2025. Clearance lists change quickly, so confirm current indications and contract terms with each vendor before building a shortlist around this table.
Side by side
Radiological.ai vs Aidoc and Viz.ai, honestly
A fair look at what each does well. Both are capable tools. Here is where they differ.
| What matters | Radiological.ai | Aidoc and Viz.ai |
|---|---|---|
| Scope of the worklist covered | The whole shift, routine and urgent studies alike | All three focus on the acute, time-critical slice |
| Structured report drafting | Drafts the structured report in your template for you to edit and sign | Not a reporting product; Aidoc has a designation, not a cleared product |
| Finding flags for review | Flags suspected findings as a second set of eyes you confirm | Strongest on specific cleared acute indications |
| Modality coverage | X-ray, CT and MRI across common study types in one pane | Strongest in acute CT pathways |
| Regulatory status | Decision support; we make no regulatory-status claims on this site | Each publishes its own FDA clearances, listed in the table above |
| Best suited for | Groups wanting one assistant for flagging, triage and drafting | Teams whose priority is acute-care triage above all |
Comparison reflects general, publicly understood positioning. Capabilities change, so check each product for the latest.
Each vendor also has a dedicated page here comparing it directly with Radiological.ai: the Aidoc alternative page, the Viz.ai alternative page and the RapidAI alternative page, which carries a feature by feature RapidAI and Viz.ai perfusion comparison drawn from the AJNR study.
If your shortlist is really about one pathway rather than a platform, the workflow underneath is on our AI stroke triage and pulmonary embolism detection pages, and the queue mechanics that decide what a radiologist actually sees first are on radiology worklist prioritization software. To see every vendor comparison grouped by what you would be replacing, start at the radiology AI alternatives hub.
Why groups pick Radiological.ai
One assistant across the whole read
These three answer a different question than we do
Aidoc, Viz.ai and RapidAI are strong at what they were built for, and if your only problem is acute triage one of them is probably the right buy. The question worth asking first is what happens to the other ninety percent of the worklist once the urgent cases are handled.
Flag, prioritize and draft in one place
Instead of stitching a triage vendor to a separate drafting tool, your team gets finding flags, worklist prioritization and a structured report draft from one assistant, across X-ray, CT and MRI, for routine studies as well as urgent ones.
Decision support, you always sign
Every flag is a suggestion and every report is a draft. The responsible radiologist reviews, edits and signs each study, which keeps clinical judgment exactly where it belongs.
Good questions
Aidoc and Viz.ai vs Radiological.ai, answered
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See how Radiological.ai reads alongside your group
One assistant that flags suspected findings, prioritizes the worklist, and drafts the structured report on X-ray, CT and MRI. You review and sign every study.
Decision support for qualified clinicians. Radiological.ai does not provide a diagnosis and is not a substitute for professional medical judgment.