Healthcare · head to head
Annalise.ai vs Fullscript

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
- -

Fullscript
Healthcare
Supplement dispensing for practitioners, free to use because it earns on the products
- From
- Free
- Rated
- -
The short version
- Only Fullscript 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.; Fullscript the practitioner sets their own margin on products they clinically recommend, which is a conflict of interest that some professional bodies and patients view badly, and the platform makes the arrangement easy rather than making it visible.
- They diverge on capability: Annalise.ai covers Annalise Enterprise CXR, Fullscript covers Protocol dispensing.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Annalise.ai and Fullscript actually diverge.
| Attribute | Annalise.ai | Fullscript |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | quote | Per user per month |
| Free tier | No | Yes |
| Platforms | Web, Cloud, On-premise | Web, iOS, Android |
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 Fullscript
- Protocol dispensing
- Profit dispensary
- Auto refill
- Lab ordering
- Patient app
- EHR integration
- Enterprise catalogue control
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 Fullscript
- A teleradiology provider covering many small hospitals that needs consistent triage before a human readsnot Fullscript
- 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 Fullscript
- 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 Fullscript
Fullscript
- A functional medicine practice that wants to stop holding supplement stock, cash and expiry risk in the clinicnot Annalise.ai
- A dietitian or naturopath adding a dispensary revenue stream without buying inventory upfrontnot Annalise.ai
- A clinic that needs patients to actually keep taking a protocol, where auto refills and dose reminders address the adherence problem directlynot Annalise.ai
- A multi site integrative health group that wants a single approved catalogue rather than each clinician choosing their own brandsnot 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.
Fullscript
- The practitioner sets their own margin on products they clinically recommend, which is a conflict of interest that some professional bodies and patients view badly, and the platform makes the arrangement easy rather than making it visible.
- The account is free but the practice does not control pricing, catalogue, shipping cost or the patient discount, so the entire economics of the dispensary can be changed by the vendor without the practice having any lever.
- Converting to a profit account requires personal identity verification, tax details and a bank account, and makes dispensary earnings the practitioner personal taxable income to report, which is administrative work no one warns about at signup.
- Product availability and shipping are geographically limited, so practices outside the supported countries cannot use it at all and cross border patients will find items unavailable at checkout.
- Patient refill schedules, plan history and a slice of practice revenue accumulate inside a platform the practice cannot export in a form another dispensary would accept, so switching later means asking every patient to re-enrol somewhere else.
Pricing, plan by plan
Annalise.ai
On request- Annalise Enterprise$undefined/year
- Priced per study analysed or as an annual volume subscription
- CXR and CTB licensed separately
- Cleared finding set differs by market, which changes what you are buying
Fullscript
Free- PractitionerFree
- Full catalogue and dispensing at no account fee
- Lab ordering and results
- Standard EHR integrations
- PatientFree
- No account fee
- Mobile app with dose reminders
- Auto refills, cancellable at any time
- Enterprise$undefined/year
- Quoted for health systems and multi site groups
- Centrally managed catalogue with quality standards
- API level EHR integration
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.
Choose Fullscript if
- You need protocol dispensing.
- You want to start without paying.
- You work on Web, iOS, Android.
- You also want profit dispensary.
Questions people ask
- Is Annalise.ai or Fullscript better?
- Neither clearly leads. Annalise.ai starts at On request and Fullscript at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Annalise.ai or Fullscript?
- Fullscript has a free tier; the other does not. Paid plans start at On request for Annalise.ai and Free for Fullscript.
- Does Annalise.ai or Fullscript run on more platforms?
- Annalise.ai runs on Web, Cloud, On-premise. Fullscript runs on Web, iOS, Android.
- Can I use Fullscript for free?
- Yes. Fullscript 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 Fullscript is typically brought in for.
- What can Annalise.ai do that Fullscript cannot?
- Annalise.ai covers Annalise Enterprise CXR, Annalise Enterprise CTB, Triage and notification, Worklist reprioritisation. Fullscript covers Protocol dispensing, Profit dispensary, Auto refill, Lab ordering.
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.
Fullscript: Is Fullscript really free for practitioners?
Yes, the account has no fee. Fullscript earns on the supplements sold through it, and a practitioner on a profit account also earns a margin on those sales.
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.
Fullscript: How do practitioners make money on it?
By converting to a profit dispensary and setting a margin. That requires tax information and a bank account, and the earnings are taxable income.
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.
Fullscript: What do patients pay?
No account fee, and a ten per cent discount on orders if the practitioner runs a no profit dispensary rather than taking a margin.
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.
Fullscript: Is there an enterprise option?
Yes, quoted for health systems, adding central catalogue control, API EHR integration and cross site reporting.
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