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Healthcare · head to head

Annalise.ai vs Visage Imaging

Annalise.ai logo

Annalise.ai

Healthcare

Multi-finding chest X-ray and head CT triage AI with FDA clearance on named findings, not on the whole model

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: Annalise.ai the United States cleared indication covers roughly ten findings for triage and notification, far fewer than the model reports, so a buyer who evaluates the full multi-finding output and then contracts in the United States gets a much narrower cleared use.; 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: Annalise.ai covers Annalise Enterprise CXR, 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 Annalise.ai and Visage Imaging actually diverge.

Attributes where Annalise.ai and Visage Imaging differ
AttributeAnnalise.aiVisage Imaging
PlatformsWeb, Cloud, On-premiseWindows, 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 Annalise.ai

  • Annalise Enterprise CXR
  • Annalise Enterprise CTB
  • Triage and notification
  • Worklist reprioritisation
  • Localisation overlays
  • Confidence output
  • PACS-native deployment
  • On-premise or cloud inference

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.

Annalise.ai

  • An emergency department wanting pneumothorax and intracranial haemorrhage pushed to the front of the reading queue overnight when cover is thinnestnot Visage Imaging
  • A teleradiology provider covering many small hospitals that needs consistent triage before a human readsnot Visage Imaging
  • A screening programme in Europe where the broader CE marked decision support indication, rather than the narrow United States triage clearance, is what is being deployednot Visage Imaging
  • A radiology department building an AI governance programme that wants one vendor covering both chest radiograph and head CT rather than contracting two separate algorithm suppliersnot Visage Imaging

Visage Imaging

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

Where each one falls short

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

Annalise.ai

  • The United States cleared indication covers roughly ten findings for triage and notification, far fewer than the model reports, so a buyer who evaluates the full multi-finding output and then contracts in the United States gets a much narrower cleared use.
  • Triage AI reprioritises a worklist but does not change clinical decisions on its own, so departments that do not redesign how urgent studies are picked up see no measurable improvement in time to treatment.
  • Published validation is largely reader study evidence on detection of individual findings; prospective evidence of shorter time to treatment in routine emergency care is thin.
  • The Annalise brand is being migrated under the Harrison.ai name for the critical care offering, which creates ambiguity in multi-year contracts about what product name is actually being supported.
  • A high finding count raises the alert burden, and departments report that low prevalence findings generate false positives that erode radiologist trust unless the alerting thresholds are tuned locally.

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

Annalise.ai

On request
  • Annalise Enterprise$undefined/year
    • Priced per study analysed or as an annual volume subscription
    • CXR and CTB licensed separately
    • Cleared finding set differs by market, which changes what you are buying

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 Annalise.ai if

  • You need annalise enterprise cxr.
  • You work on Web, Cloud, On-premise.
  • You also want annalise enterprise ctb.
Annalise.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 Annalise.ai or Visage Imaging better?
Neither clearly leads. Annalise.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, Annalise.ai or Visage Imaging?
Annalise.ai starts at On request and Visage Imaging at On request.
Does Annalise.ai or Visage Imaging run on more platforms?
Annalise.ai runs on Web, Cloud, On-premise. Visage Imaging runs on Windows, macOS, Web, iOS, Cloud.
What is Annalise.ai best used for?
Annalise.ai is most often used for an emergency department wanting pneumothorax and intracranial haemorrhage pushed to the front of the reading queue overnight when cover is thinnest, a teleradiology provider covering many small hospitals that needs consistent triage before a human reads, a screening programme in europe where the broader ce marked decision support indication, rather than the narrow united states triage clearance, is what is being deployed, a radiology department building an ai governance programme that wants one vendor covering both chest radiograph and head ct rather than contracting two separate algorithm suppliers. Of those, an emergency department wanting pneumothorax and intracranial haemorrhage pushed to the front of the reading queue overnight when cover is thinnest and a teleradiology provider covering many small hospitals that needs consistent triage before a human reads are not what Visage Imaging is typically brought in for.
What can Annalise.ai do that Visage Imaging cannot?
Annalise.ai covers Annalise Enterprise CXR, Annalise Enterprise CTB, Triage and notification, Worklist reprioritisation. Visage Imaging covers Server-side rendering, One Viewer, Native multi-dimensional tools, Digital breast tomosynthesis reading.

Answered from the vendors’ own pages

Annalise.ai: How many findings are FDA cleared?

Around ten across chest X-ray and head CT, for triage and notification only. The model reports far more findings than that; the rest are not cleared in the United States.

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.

Annalise.ai: Is the European position different?

Yes. CE marking under the medical device regulation covers a broader decision support indication than the United States triage and notification clearances, so the same software is a different regulatory product depending on where you deploy it.

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.

Annalise.ai: Does it diagnose?

No. In the United States it is a triage and notification device: it flags studies for earlier review, and the radiologist makes the diagnosis.

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.

Annalise.ai: Is Annalise.ai becoming Harrison.ai?

The critical care offering is now marketed under the Harrison.ai name. Ask the vendor to name the contracted product explicitly before signing a multi-year deal.

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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