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Healthcare · head to head

Aidoc vs Annalise.ai

Aidoc logo

Aidoc

Healthcare

FDA cleared radiology AI for triage and notification of time critical findings

From
On request
Rated
-
Full reviewWebsite
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

The short version

  • Each has a real cost: Aidoc the clearances are for triage and notification in the CADt category, so the software may reorder a worklist but may not deliver a diagnosis or replace a read, and business cases built on reduced radiologist workload do not survive contact with the regulatory wording.; 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.
  • They diverge on capability: Aidoc covers Intracranial haemorrhage, Annalise.ai covers Annalise Enterprise CXR.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Aidoc and Annalise.ai actually diverge.

Attributes where Aidoc and Annalise.ai differ
AttributeAidocAnnalise.ai
PlatformsWeb, iOS, AndroidWeb, Cloud, On-premise

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 Aidoc

  • Intracranial haemorrhage
  • Pulmonary embolism
  • Large vessel occlusion
  • Pneumothorax on X-ray
  • aiOS platform
  • Clinical workflow notifications

Only in Annalise.ai

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

Both cover

  • Triage and notification

What people use each for

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

Aidoc

  • A regional stroke centre that wants large vessel occlusion flagged and the neurointervention team notified before the radiologist dictatesnot Annalise.ai
  • A trauma centre wanting cervical spine fracture and intra abdominal free gas prioritised in an overnight queue read by one on call radiologistnot Annalise.ai
  • An oncology imaging programme that wants incidental pulmonary embolism caught on staging CTs ordered for a different questionnot Annalise.ai
  • A health system that has bought AI from several vendors and wants one PACS integration through aiOS rather than one integration per algorithmnot Annalise.ai

Annalise.ai

  • An emergency department wanting pneumothorax and intracranial haemorrhage pushed to the front of the reading queue overnight when cover is thinnestnot Aidoc
  • A teleradiology provider covering many small hospitals that needs consistent triage before a human readsnot Aidoc
  • 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 Aidoc
  • 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 Aidoc

Where each one falls short

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

Aidoc

  • The clearances are for triage and notification in the CADt category, so the software may reorder a worklist but may not deliver a diagnosis or replace a read, and business cases built on reduced radiologist workload do not survive contact with the regulatory wording.
  • Triage algorithms are tuned for sensitivity, so false positives are routine, and each one interrupts a radiologist. Sites that do not measure positive predictive value in their own case mix see clinician trust erode within months.
  • Pricing is per algorithm and per study volume with no published rate card, so the cost of a multi algorithm deployment escalates sharply and cannot be benchmarked before a sales conversation.
  • The clinical benefit accrues to stroke, trauma and cardiology service lines while the cost usually lands in the radiology or IT budget, which makes internal funding harder than the return on investment slides suggest.
  • Performance depends on scanner protocols and reconstruction settings, so results validated at one site do not transfer, and each deployment needs local validation work that is rarely budgeted for.

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.

Pricing, plan by plan

Aidoc

On request
  • Aidoc$undefined/year
    • Annual subscription priced by algorithm and by study volume
    • aiOS platform integration licensed separately from individual algorithms
    • Multi algorithm bundles negotiated for enterprise deployments

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

Which should you pick?

Choose Aidoc if

  • You need intracranial haemorrhage.
  • You work on Web, iOS, Android.
  • You also want pulmonary embolism.
Aidoc review

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

Questions people ask

Is Aidoc or Annalise.ai better?
Neither clearly leads. Aidoc starts at On request and Annalise.ai at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Aidoc or Annalise.ai?
Aidoc starts at On request and Annalise.ai at On request.
Does Aidoc or Annalise.ai run on more platforms?
Aidoc runs on Web, iOS, Android. Annalise.ai runs on Web, Cloud, On-premise.
What is Aidoc best used for?
Aidoc is most often used for a regional stroke centre that wants large vessel occlusion flagged and the neurointervention team notified before the radiologist dictates, a trauma centre wanting cervical spine fracture and intra abdominal free gas prioritised in an overnight queue read by one on call radiologist, an oncology imaging programme that wants incidental pulmonary embolism caught on staging cts ordered for a different question, a health system that has bought ai from several vendors and wants one pacs integration through aios rather than one integration per algorithm. Of those, a regional stroke centre that wants large vessel occlusion flagged and the neurointervention team notified before the radiologist dictates and a trauma centre wanting cervical spine fracture and intra abdominal free gas prioritised in an overnight queue read by one on call radiologist are not what Annalise.ai is typically brought in for.
What can Aidoc do that Annalise.ai cannot?
Aidoc covers Intracranial haemorrhage, Pulmonary embolism, Large vessel occlusion, Pneumothorax on X-ray. Annalise.ai covers Annalise Enterprise CXR, Annalise Enterprise CTB, Worklist reprioritisation, Localisation overlays. Both handle Triage and notification.

Answered from the vendors’ own pages

Aidoc: Is Aidoc FDA cleared?

Yes, it holds multiple 510(k) clearances, but they are for computer aided triage and notification. It may prioritise a worklist and notify a team. It may not provide a diagnostic interpretation or replace a radiologist read.

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.

Aidoc: Does it reduce radiologist workload?

No. Every study still needs a full read. The benefit is in the order studies are read and how quickly a receiving specialty is activated, not in reading fewer studies.

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.

Aidoc: Can I run other vendors AI through it?

Yes, that is what the aiOS platform layer is for, and for health systems with several AI vendors it is often the main reason to buy Aidoc at all.

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.

Aidoc: Is pricing published?

No. It is quoted per algorithm and by annual study volume, and enterprise bundles are negotiated case by case.

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.

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