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Healthcare · head to head

Annalise.ai vs Doctolib

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
Doctolib logo

Doctolib

Healthcare

Patient booking and practice management for European healthcare professionals

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.; Doctolib availability is limited to France, Germany and Italy, so a clinic group operating outside those markets cannot use it at all and a multinational provider cannot standardise on one booking system.
  • They diverge on capability: Annalise.ai covers Annalise Enterprise CXR, Doctolib covers Patient booking marketplace.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Annalise.ai and Doctolib differ
AttributeAnnalise.aiDoctolib
PlatformsWeb, Cloud, On-premiseWeb, iOS, Android

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 Doctolib

  • Patient booking marketplace
  • Practice agenda
  • Teleconsultation
  • Automated reminders
  • Electronic patient record
  • Carte Vitale and reimbursement
  • e-Prescription
  • Doctolib Team

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

Doctolib

  • A French general practice that wants new patients to find and book it without a phone call, and needs Carte Vitale billing in the same toolnot Annalise.ai
  • A German physiotherapy clinic replacing a paper diary and cutting no-shows through automated SMS remindersnot Annalise.ai
  • A dental group with several sites that needs one shared agenda and per-site patient routingnot Annalise.ai
  • A specialist starting a new practice in Paris or Berlin who has no existing patient list and needs the directory as a source of referralsnot 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.

Doctolib

  • Availability is limited to France, Germany and Italy, so a clinic group operating outside those markets cannot use it at all and a multinational provider cannot standardise on one booking system.
  • No pricing is published anywhere on the site; every plan routes to a sales form, so a practice cannot budget or compare against alternatives without giving up contact details and sitting through a call.
  • Contracts run on a twelve month commitment per practitioner, so a practice that hires a locum or loses a partner mid-term keeps paying for the seat.
  • The commercial value is the marketplace listing rather than the software, which means leaving Doctolib costs a practice its inbound patient discovery, not just a data export; that asymmetry weakens the practice in every renewal negotiation.
  • Clinical depth is thinner than a dedicated electronic health record, so practices with complex documentation, coding or research requirements often run Doctolib for scheduling alongside a second clinical system and reconcile the two by hand.

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

Doctolib

On request
  • Doctolib Pro$undefined/month
    • Marketplace listing and patient booking
    • Practice agenda
    • SMS and email reminders

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 Doctolib if

  • You need patient booking marketplace.
  • You work on Web, iOS, Android.
  • You also want practice agenda.
Doctolib review

Questions people ask

Is Annalise.ai or Doctolib better?
Neither clearly leads. Annalise.ai starts at On request and Doctolib at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Annalise.ai or Doctolib?
Annalise.ai starts at On request and Doctolib at On request.
Does Annalise.ai or Doctolib run on more platforms?
Annalise.ai runs on Web, Cloud, On-premise. Doctolib runs on Web, iOS, Android.
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 Doctolib is typically brought in for.
What can Annalise.ai do that Doctolib cannot?
Annalise.ai covers Annalise Enterprise CXR, Annalise Enterprise CTB, Triage and notification, Worklist reprioritisation. Doctolib covers Patient booking marketplace, Practice agenda, Teleconsultation, Automated reminders.

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.

Doctolib: Can I use Doctolib in the UK or the US?

No. Doctolib operates in France, Germany and Italy only. There is no English-market offering.

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.

Doctolib: Does Doctolib publish its prices?

No. Every tier on the site routes to a contact form, and quotes are per practitioner per month with a twelve month commitment.

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.

Doctolib: Is Doctolib a full electronic health record?

Not really. It covers consultation notes, documents and prescribing, but practices with heavy clinical documentation needs usually keep a separate EHR.

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.

Doctolib: What happens to my patient bookings if I leave?

You keep your patient data on export, but you lose the public listing, which is where a large share of new bookings originate.

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