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Healthcare · head to head

Annalise.ai vs Philips IntelliSpace PACS

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
Philips IntelliSpace PACS logo

Philips IntelliSpace PACS

Healthcare

Enterprise radiology PACS and diagnostic image viewing from Philips

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.; Philips IntelliSpace PACS philips has consolidated its imaging marketing under Philips Enterprise Imaging and several IntelliSpace PACS regional pages now redirect to a generic medical imaging page, so a buyer signing a long PACS term should demand a written product lifecycle and version support statement before committing.
  • They diverge on capability: Annalise.ai covers Annalise Enterprise CXR, Philips IntelliSpace PACS covers Diagnostic reading client.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Annalise.ai and Philips IntelliSpace PACS actually diverge.

Attributes where Annalise.ai and Philips IntelliSpace PACS differ
AttributeAnnalise.aiPhilips IntelliSpace PACS
PlatformsWeb, Cloud, On-premiseWeb, Windows

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 Philips IntelliSpace PACS

  • Diagnostic reading client
  • Zero footprint web viewer
  • Enterprise archive
  • Advanced visualisation
  • IntelliSpace Radiology on AWS
  • Worklist and workflow
  • AI results integration

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 Philips IntelliSpace PACS
  • A teleradiology provider covering many small hospitals that needs consistent triage before a human readsnot Philips IntelliSpace PACS
  • 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 Philips IntelliSpace PACS
  • 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 Philips IntelliSpace PACS

Philips IntelliSpace PACS

  • A hospital replacing an end of life PACS that already runs a large Philips CT and MR estate and wants modality and reading integration in one support contractnot Annalise.ai
  • A radiology group consolidating several departmental archives into one enterprise archive with a single radiologist worklistnot Annalise.ai
  • A health system that wants to move diagnostic reading off local workstations into a cloud hosted environment via the AWS listingnot Annalise.ai
  • Sites that need server side advanced visualisation so radiologists can do 3D and vessel work without dedicated 3D workstationsnot 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.

Philips IntelliSpace PACS

  • Philips has consolidated its imaging marketing under Philips Enterprise Imaging and several IntelliSpace PACS regional pages now redirect to a generic medical imaging page, so a buyer signing a long PACS term should demand a written product lifecycle and version support statement before committing.
  • Advanced visualisation is licensed by concurrent user separately from the base PACS, so a department that sizes concurrency from average use finds radiologists blocked at the morning peak and buys more licences after go live.
  • The deepest integration is with Philips modalities, so sites running mixed GE and Siemens scanner fleets get less of the workflow benefit than the demonstration environment implies.
  • Third party AI findings arrive through a results interface rather than natively in the hanging protocol, so radiologists context switch to see algorithm output and adoption of purchased AI is lower than expected.
  • Data migration from a legacy PACS is a separate, large and often underquoted professional services line, and migrations of a decade of priors routinely run longer than the go live plan allows.

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

Philips IntelliSpace PACS

On request
  • IntelliSpace PACS$undefined/year
    • Priced by annual study volume and concurrent diagnostic users
    • Advanced visualisation licensed separately by concurrent user
    • Storage and archive tiering priced by capacity

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 Philips IntelliSpace PACS if

  • You need diagnostic reading client.
  • You work on Web, Windows.
  • You also want zero footprint web viewer.
Philips IntelliSpace PACS review

Questions people ask

Is Annalise.ai or Philips IntelliSpace PACS better?
Neither clearly leads. Annalise.ai starts at On request and Philips IntelliSpace PACS at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Annalise.ai or Philips IntelliSpace PACS?
Annalise.ai starts at On request and Philips IntelliSpace PACS at On request.
Does Annalise.ai or Philips IntelliSpace PACS run on more platforms?
Annalise.ai runs on Web, Cloud, On-premise. Philips IntelliSpace PACS runs on Web, Windows.
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 Philips IntelliSpace PACS is typically brought in for.
What can Annalise.ai do that Philips IntelliSpace PACS cannot?
Annalise.ai covers Annalise Enterprise CXR, Annalise Enterprise CTB, Triage and notification, Worklist reprioritisation. Philips IntelliSpace PACS covers Diagnostic reading client, Zero footprint web viewer, Enterprise archive, Advanced visualisation.

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.

Philips IntelliSpace PACS: Is IntelliSpace PACS being discontinued?

It is still sold and supported, but Philips has moved its marketing to Philips Enterprise Imaging and some regional IntelliSpace product pages now redirect. Ask Philips for the written lifecycle statement before signing a multi year term.

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.

Philips IntelliSpace PACS: Can I run it in the cloud?

Yes. Philips lists IntelliSpace Radiology on AWS Marketplace, and Philips also offers a managed hosted deployment. Both are quoted rather than self service.

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.

Philips IntelliSpace PACS: Does Philips publish pricing?

No. Pricing is by study volume, concurrent diagnostic users and storage, and is usually negotiated alongside modality capital.

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.

Philips IntelliSpace PACS: Will it read images from non Philips scanners?

Yes, it is a standard DICOM archive and viewer. The gap is in advanced visualisation and modality workflow integration, which is deeper on Philips equipment.

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