Rad AI

Generative reporting and follow-up tracking for radiology, positioned outside the diagnostic device boundary

As of 1 September 2026, Rad AI's pricing is not published; the vendor quotes on request. Rad AI drafts report impressions and full reports from radiologist dictation and tracks recommended follow-up imaging that would otherwise be lost. Softwr lists it under Healthcare. Rad AI is made by Rad AI, Inc., available on Windows, Web.

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Overview

What Rad AI does

Rad AI, founded in 2018 by radiologist Jeff Chang and Doktor Gurson, sells three products to radiology groups and health systems. Impressions generates the impression section of a report from the findings the radiologist has dictated, in that radiologist personal style. Reporting extends this to full report generation inside the existing dictation workflow. Continuity tracks incidental findings and follow-up recommendations across the population and chases the imaging that was recommended but never booked. What distinguishes Rad AI commercially is a regulatory posture rather than an algorithm. The products draft language and manage workflow; they do not interpret pixels and do not claim a diagnostic finding, so they sit outside the FDA device pathway that slows every image-analysis vendor. That is why a practice can deploy Impressions in weeks while an AI triage tool takes a year of validation and governance. It also means the clinical claim is narrower than the marketing suggests: what has been measured is dictation time reduction and follow-up completion rates, not diagnostic accuracy improvement. Continuity is the product with the clearest revenue argument, because completed follow-up imaging is billable and currently large volumes of it simply never happen. Buyers are private radiology practices and hospital radiology departments where reading volume is outpacing recruitment. The trade off is workflow dependency: the products live inside the reporting workflow and therefore inside your dictation vendor and PACS, so integration quality varies with what you already run, and switching either later means revisiting the Rad AI deployment too.

What people use it for

A private radiology practice whose read volume has grown faster than it can recruit and that wants dictation time per study reduced without changing PACS
A health system losing revenue and exposing itself to liability because recommended follow-up imaging on incidental findings is never booked
A radiology department standardising impression quality across a mixed group of employed and locum radiologists
A group deploying an AI tool that must not trigger a device validation programme, because governance capacity is already consumed by a triage algorithm rollout

Where it falls short

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 Rad AI.

The products are not FDA cleared devices and are not intended to be, so any claim that Rad AI improves diagnostic accuracy is unsupported; what has been measured is reporting speed and follow-up completion, not detection.
Generated impressions require radiologist review and signature, so the time saving evaporates in any group whose radiologists rewrite the draft rather than edit it, and adoption varies sharply by individual.
It is bound to your dictation platform, so a group planning to move off PowerScribe should sequence that decision first or expect to redo the Rad AI integration.
Continuity depends on the quality of recommendation language in historical reports, and departments with inconsistent phrasing get poor recall until reporting practice is standardised.
Pricing is not published and is structured per radiologist or per study depending on the product mix, which makes it hard to compare against image-analysis AI vendors that price per scan.

Cross-shopped

What people choose instead of Rad AI

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.

Rad AIvs
Annalise.ai
Annalise.ai: If the requirement is detection and triage of findings rather than report drafting
Rad AIvs
Visage Imaging
Visage Imaging: If the bottleneck is study display speed rather than dictation time
Rad AIvs
Sectra
Sectra: If you need the reporting improvement to come from the imaging platform vendor rather than a third party

Pricing

What Rad AI costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

Rad AI platform

On request

Priced per radiologist or per study volume depending on product and contract
Impressions, Reporting and Continuity licensed separately
Annual subscription with implementation and integration scoped per site
No published list price

Capabilities

Features

Impressions
Generates the report impression from dictated findings in each radiologist individual style
Reporting
Full report generation and editing inside the existing dictation environment
Continuity
Population-level tracking of incidental findings and recommended follow-up imaging
Style learning
Adapts phrasing per radiologist rather than imposing a house template
Omni Reconcile
Reconciles prior report recommendations against what was subsequently performed
PACS and dictation embedding
Runs inside the existing reading workflow rather than as a separate application
Patient outreach workflows
Generates the follow-up contact list and letters for missed recommended imaging
Audit reporting
Tracks recommendation compliance rates by radiologist and by referrer

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

Is Rad AI FDA cleared?

No, and by design. The products draft text and manage follow-up workflow rather than interpreting images, so they fall outside the device pathway. Treat any diagnostic accuracy claim with scepticism.

Does the radiologist still sign the report?

Yes. Output is a draft that the radiologist reviews and signs; nothing is released autonomously.

Which product actually pays for itself?

Continuity has the clearest financial case, because recommended follow-up imaging that gets completed is billable work that currently does not happen.

Will it work with our dictation system?

It is deepest with Nuance PowerScribe. Confirm your specific dictation and PACS combination before contracting, because integration depth is the main deployment variable.

Keep looking

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Softwr does not host reviews and shows no star rating for Rad AI, 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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