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Healthcare · head to head

Rad AI vs Visage Imaging

Rad AI logo

Rad AI

Healthcare

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

From
On request
Rated
-
Full reviewWebsite
Visage Imaging logo

Visage Imaging

Healthcare

Server-side streaming PACS built for radiologists reading very large studies over thin connections

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: 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.; Visage Imaging pricing is per exam against a minimum annual volume, so an organisation whose imaging activity is flat pays a floor while a growing one sees the software line rise every year rather than amortise.
  • They diverge on capability: Rad AI covers Impressions, Visage Imaging covers Server-side rendering.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Rad AI and Visage Imaging actually diverge.

Attributes where Rad AI and Visage Imaging differ
AttributeRad AIVisage Imaging
PlatformsWindows, Web, CloudWindows, macOS, Web, iOS, Cloud

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Healthcare).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Rad AI

  • Impressions
  • Reporting
  • Continuity
  • Style learning
  • Omni Reconcile
  • PACS and dictation embedding
  • Patient outreach workflows
  • Audit reporting

Only in Visage Imaging

  • Server-side rendering
  • One Viewer
  • Native multi-dimensional tools
  • Digital breast tomosynthesis reading
  • Open archive
  • Cloud PACS operations
  • AI accelerator
  • On the fly patient jacket

What people use each for

The jobs each tool is most often brought in to do.

Rad AI

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

Visage Imaging

  • An academic health system whose radiologists read from home and cannot tolerate a thousand slice CT taking minutes to opennot Rad AI
  • A breast imaging service moving to tomosynthesis where study sizes have made the existing PACS unusable at volumenot Rad AI
  • A teleradiology group covering many client sites that needs one viewer rather than a client-specific workstation per contractnot Rad AI
  • A health system mid migration that needs priors from three legacy archives assembled into one patient jacket before the data move finishesnot Rad AI

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

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.

Visage Imaging

  • Pricing is per exam against a minimum annual volume, so an organisation whose imaging activity is flat pays a floor while a growing one sees the software line rise every year rather than amortise.
  • Module breadth outside radiology is narrower than at Sectra or the large modality vendors, so a group planning to digitise pathology on the same platform will not find it here.
  • Server-side rendering shifts the cost to central infrastructure, so the saving on radiologist workstations is partly offset by what you spend on servers or cloud compute.
  • Pro Medicus concentrates on very large contracts, and smaller imaging groups report long sales cycles and little appetite from the vendor for deals below a certain volume.
  • Diagnostic AI is third party, surfaced through the accelerator framework rather than developed in house, so algorithm licensing, validation and monitoring remain the buyer problem.

Pricing, plan by plan

Rad AI

On request
  • Rad AI platform$undefined/year
    • 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

Visage Imaging

On request
  • Visage 7 enterprise contract$undefined/year
    • Transaction pricing per exam with a minimum annual volume commitment
    • Seven to ten year terms typical for health system contracts
    • Contract totals for major deals are disclosed by Pro Medicus to the ASX

Which should you pick?

Choose Rad AI if

  • You need impressions.
  • You work on Windows, Web, Cloud.
  • You also want reporting.
Rad AI review

Choose Visage Imaging if

  • You need server-side rendering.
  • You work on Windows, macOS, Web, iOS, Cloud.
  • You also want one viewer.
Visage Imaging review

Questions people ask

Is Rad AI or Visage Imaging better?
Neither clearly leads. Rad AI starts at On request and Visage Imaging at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Rad AI or Visage Imaging?
Rad AI starts at On request and Visage Imaging at On request.
Does Rad AI or Visage Imaging run on more platforms?
Rad AI runs on Windows, Web, Cloud. Visage Imaging runs on Windows, macOS, Web, iOS, Cloud.
What is Rad AI best used for?
Rad AI is most often used 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. Of those, 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 and a health system losing revenue and exposing itself to liability because recommended follow-up imaging on incidental findings is never booked are not what Visage Imaging is typically brought in for.
What can Rad AI do that Visage Imaging cannot?
Rad AI covers Impressions, Reporting, Continuity, Style learning. Visage Imaging covers Server-side rendering, One Viewer, Native multi-dimensional tools, Digital breast tomosynthesis reading.

Answered from the vendors’ own pages

Rad AI: 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.

Visage Imaging: Who owns Visage Imaging?

Pro Medicus Limited, listed on the Australian Securities Exchange. That listing means major contract values and terms are publicly announced.

Rad AI: Does the radiologist still sign the report?

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

Visage Imaging: How is Visage priced?

Per exam, against a minimum annual volume, on multi-year terms. Because Pro Medicus discloses large contract totals and durations to the market, buyers can estimate a per exam rate before entering negotiation.

Rad AI: 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.

Visage Imaging: Is Visage 7 FDA cleared for diagnostic interpretation?

Yes, Visage 7 holds 510(k) clearance for diagnostic viewing including mammography and tomosynthesis on validated displays. Confirm the exact cleared modality list for your intended use.

Rad AI: 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.

Visage Imaging: Does it work as a full cloud PACS?

Yes, Visage 7 runs complete PACS operations in the cloud rather than cloud viewing over an on-premise archive.

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