Healthcare · head to head
Paige vs Rad AI
Paige
Healthcare
Digital pathology AI holding the first FDA De Novo authorisation for a pathology algorithm, now part of Tempus
- From
- On request
- Rated
- -
Rad AI
Healthcare
Generative reporting and follow-up tracking for radiology, positioned outside the diagnostic device boundary
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Paige the FDA authorisation is confined to prostate core needle biopsies, on compatible scanners, viewed through FullFocus, as an adjunct only; every other tissue type and every grading claim is outside that authorisation in the United States.; Rad AI the products are not FDA cleared devices and are not intended to be, so any claim that Rad AI improves diagnostic accuracy is unsupported; what has been measured is reporting speed and follow-up completion, not detection.
- They diverge on capability: Paige covers Paige Prostate Detect, Rad AI covers Impressions.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Paige and Rad AI actually diverge.
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 Paige
- Paige Prostate Detect
- Paige Prostate Grade and Quantify
- Perineural invasion detection
- Breast and lymph node applications
- FullFocus viewer
- Foundation models
- OmniScreen
- Paige Alba
Only in Rad AI
- Impressions
- Reporting
- Continuity
- Style learning
- Omni Reconcile
- PACS and dictation embedding
- Patient outreach workflows
- Audit reporting
What people use each for
The jobs each tool is most often brought in to do.
Paige
- A reference laboratory processing high volumes of prostate core needle biopsies where a second read on every case is not staffablenot Rad AI
- A pathology department already digitised that wants a documented safety net against missed small foci of cancernot Rad AI
- A hospital laboratory struggling to recruit uropathology subspecialists and needing consistency across generalist reportingnot Rad AI
- A pharmaceutical company needing consistent biomarker scoring across trial sites rather than site-by-site pathologist variabilitynot Rad AI
Rad AI
- A private radiology practice whose read volume has grown faster than it can recruit and that wants dictation time per study reduced without changing PACSnot Paige
- A health system losing revenue and exposing itself to liability because recommended follow-up imaging on incidental findings is never bookednot Paige
- A radiology department standardising impression quality across a mixed group of employed and locum radiologistsnot Paige
- A group deploying an AI tool that must not trigger a device validation programme, because governance capacity is already consumed by a triage algorithm rolloutnot Paige
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Paige
- The FDA authorisation is confined to prostate core needle biopsies, on compatible scanners, viewed through FullFocus, as an adjunct only; every other tissue type and every grading claim is outside that authorisation in the United States.
- The algorithm is worthless without a digital pathology programme already running, and slide scanning, storage and workflow typically cost far more than the software licence.
- Tempus acquired Paige in 2025, so the roadmap now competes for attention inside a genomics-led business, and the pathology-only buyer is no longer the primary customer.
- Scanner compatibility is a hard constraint rather than a preference, and a laboratory with an unsupported scanner fleet cannot use the authorised indication at all.
- Pricing is per case or per slide and unpublished, so a laboratory cannot model cost per reported case without entering a sales process.
Rad AI
- The products are not FDA cleared devices and are not intended to be, so any claim that Rad AI improves diagnostic accuracy is unsupported; what has been measured is reporting speed and follow-up completion, not detection.
- Generated impressions require radiologist review and signature, so the time saving evaporates in any group whose radiologists rewrite the draft rather than edit it, and adoption varies sharply by individual.
- It is bound to your dictation platform, so a group planning to move off PowerScribe should sequence that decision first or expect to redo the Rad AI integration.
- Continuity depends on the quality of recommendation language in historical reports, and departments with inconsistent phrasing get poor recall until reporting practice is standardised.
- Pricing is not published and is structured per radiologist or per study depending on the product mix, which makes it hard to compare against image-analysis AI vendors that price per scan.
Pricing, plan by plan
Paige
On request- Paige clinical applications$undefined/year
- Priced per case or per slide analysed under annual agreement
- Prostate, breast and other applications licensed separately
- Requires compatible whole slide scanner and the FullFocus viewer for the authorised indication
Rad AI
On request- Rad AI platform$undefined/year
- Priced per radiologist or per study volume depending on product and contract
- Impressions, Reporting and Continuity licensed separately
- Annual subscription with implementation and integration scoped per site
Which should you pick?
Choose Paige if
- You need paige prostate detect.
- You work on Web, Cloud, On-premise.
- You also want paige prostate grade and quantify.
Choose Rad AI if
- You need impressions.
- You work on Windows, Web, Cloud.
- You also want reporting.
Questions people ask
- Is Paige or Rad AI better?
- Neither clearly leads. Paige starts at On request and Rad AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Paige or Rad AI?
- Paige starts at On request and Rad AI at On request.
- Does Paige or Rad AI run on more platforms?
- Paige runs on Web, Cloud, On-premise. Rad AI runs on Windows, Web, Cloud.
- What is Paige best used for?
- Paige is most often used for a reference laboratory processing high volumes of prostate core needle biopsies where a second read on every case is not staffable, a pathology department already digitised that wants a documented safety net against missed small foci of cancer, a hospital laboratory struggling to recruit uropathology subspecialists and needing consistency across generalist reporting, a pharmaceutical company needing consistent biomarker scoring across trial sites rather than site-by-site pathologist variability. Of those, a reference laboratory processing high volumes of prostate core needle biopsies where a second read on every case is not staffable and a pathology department already digitised that wants a documented safety net against missed small foci of cancer are not what Rad AI is typically brought in for.
- What can Paige do that Rad AI cannot?
- Paige covers Paige Prostate Detect, Paige Prostate Grade and Quantify, Perineural invasion detection, Breast and lymph node applications. Rad AI covers Impressions, Reporting, Continuity, Style learning.
Answered from the vendors’ own pages
Paige: What exactly is FDA authorised?
Paige Prostate Detect, as an adjunct for identifying areas of interest on digitised prostate core needle biopsy slides, viewed through the Paige FullFocus viewer on a compatible scanner. Nothing else in the portfolio holds that authorisation in the United States.
Rad AI: Is Rad AI FDA cleared?
No, and by design. The products draft text and manage follow-up workflow rather than interpreting images, so they fall outside the device pathway. Treat any diagnostic accuracy claim with scepticism.
Paige: Is the European position broader?
Yes. The Paige Prostate suite including grading and quantification received IVDR certification in 2025, which covers more than the United States authorisation.
Rad AI: Does the radiologist still sign the report?
Yes. Output is a draft that the radiologist reviews and signs; nothing is released autonomously.
Paige: What did the pivotal study measure?
Pathologist cancer detection on individual slide images improved, with reported reductions in false negative and false positive readings. It measured pathologist performance with the tool, not standalone algorithm accuracy.
Rad AI: Which product actually pays for itself?
Continuity has the clearest financial case, because recommended follow-up imaging that gets completed is billable work that currently does not happen.
Paige: Who owns Paige now?
Tempus AI acquired Paige in 2025. Products remain branded Paige.
Rad AI: Will it work with our dictation system?
It is deepest with Nuance PowerScribe. Confirm your specific dictation and PACS combination before contracting, because integration depth is the main deployment variable.
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