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Healthcare · head to head

Annalise.ai vs GNU Health

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
GNU Health logo

GNU Health

Healthcare

Free hospital and health information system from a small NGO, built on the Tryton framework

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only GNU Health has a free tier, so it costs nothing to try first.
  • 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.; GNU Health development depends on GNU Solidario, a very small nonprofit funded by donations and training, so release cadence and long-term continuity are tied to a handful of people rather than to an engineering organisation.
  • They diverge on capability: Annalise.ai covers Annalise Enterprise CXR, GNU Health covers Electronic medical record.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Annalise.ai and GNU Health actually diverge.

Attributes where Annalise.ai and GNU Health differ
AttributeAnnalise.aiGNU Health
Starting priceOn requestFree
Pricing modelquoteOpen source, no licence fee
Free tierNoYes
PlatformsWeb, Cloud, On-premiseLinux, Web, Self-hosted

Identical on both: 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 GNU Health

  • Electronic medical record
  • Hospital management
  • Laboratory information system
  • Social medicine modules
  • Tryton business modules
  • Health federation
  • ICD and standards support
  • Modular installation

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 GNU Health
  • A teleradiology provider covering many small hospitals that needs consistent triage before a human readsnot GNU Health
  • 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 GNU Health
  • 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 GNU Health

GNU Health

  • A public hospital in a low-resource setting that cannot fund commercial EMR licensing and has in-house Linux capabilitynot Annalise.ai
  • A ministry building a national health network where source code inspection and data sovereignty are policy requirementsnot Annalise.ai
  • A university teaching health informatics that needs a complete, inspectable system rather than a vendor demonstrationnot Annalise.ai
  • A community health programme that needs socioeconomic determinants recorded alongside clinical datanot 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.

GNU Health

  • Development depends on GNU Solidario, a very small nonprofit funded by donations and training, so release cadence and long-term continuity are tied to a handful of people rather than to an engineering organisation.
  • It is built on Tryton, a framework few health IT staff know, so hiring or contracting people who can extend and maintain it is materially harder than for a mainstream stack.
  • Installation, upgrades and database administration assume Linux and Python competence, which puts the real cost on staffing rather than on licensing and defeats hospitals that lack that team.
  • The interface is functional rather than designed, and clinician acceptance is a genuine deployment risk compared with commercial systems that have invested heavily in usability.
  • Certification, regulatory conformance and interoperability testing that some jurisdictions demand of clinical systems are not provided by a vendor, so the adopting institution has to carry that work and that liability itself.

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

GNU Health

Free
  • GNU HealthFree
    • GNU GPL licence
    • All modules included
    • No patient, bed or user limits
  • Support and training$undefined/year
    • Paid support and implementation from GNU Solidario
    • Training courses and certification
    • Quoted per institution

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 GNU Health if

  • You need electronic medical record.
  • You want to start without paying.
  • You work on Linux, Web, Self-hosted.
  • You also want hospital management.
GNU Health review

Questions people ask

Is Annalise.ai or GNU Health better?
Neither clearly leads. Annalise.ai starts at On request and GNU Health at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Annalise.ai or GNU Health?
GNU Health has a free tier; the other does not. Paid plans start at On request for Annalise.ai and Free for GNU Health.
Does Annalise.ai or GNU Health run on more platforms?
Annalise.ai runs on Web, Cloud, On-premise. GNU Health runs on Linux, Web, Self-hosted.
Can I use GNU Health for free?
Yes. GNU Health has a free tier, so you can try it without paying. Annalise.ai starts at On request.
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 GNU Health is typically brought in for.
What can Annalise.ai do that GNU Health cannot?
Annalise.ai covers Annalise Enterprise CXR, Annalise Enterprise CTB, Triage and notification, Worklist reprioritisation. GNU Health covers Electronic medical record, Hospital management, Laboratory information system, Social medicine modules.

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.

GNU Health: Who develops GNU Health?

GNU Solidario, a Spanish nonprofit NGO, as an official GNU package under the GPL.

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.

GNU Health: Is there commercial support?

Yes, in a limited form, from GNU Solidario itself and a small number of implementers. It is not a vendor support organisation.

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.

GNU Health: What is it built on?

Tryton, a Python business application framework, which is where its accounting, stock and HR modules come from.

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.

GNU Health: Is it suitable for a large hospital?

It is deployed in hospitals, but the deciding factor is whether you have internal Linux, Python and Tryton capability rather than the size of the institution.

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