Aidoc vs Harrison.ai (2026)
The enterprise platform against the comprehensive chest specialist. Aidoc runs many detection models across an imaging estate through an operating system that handles normalization, continuous monitoring and governance, with a 2026 clearance covering 11 acute findings on body CT from one named foundation model and regulator reviewed performance behind it. Annalise reads the chest radiograph comprehensively across a large findings set, with regulatory footprints in several markets and more than a third of NHS England chest X-rays. If the problem is running clinical AI across an imaging estate without rebuilding per algorithm, Aidoc is the infrastructure. If it is chest radiograph throughput specifically, Annalise goes deeper into that one film. Do not compare them on findings counts, which mean different things to each vendor.
- It runs detection models across an imaging estate through an operating system handling normalization, monitoring and governance for every model it runs.
- The 2026 clearance covers many acute indications from a single named foundation model, with performance from a regulator reviewed pivotal study.
- The data handling model is published in detail, with identifiers stripped before upload, which answers the privacy question architecturally.
- Comprehensive chest radiograph coverage with a large findings set, used for more than a third of chest X-rays in NHS England.
- Regulatory footprints across multiple markets mean the product has met more than one regulator's expectations.
- For a service whose problem is chest radiograph throughput specifically, a comprehensive chest product goes deeper than a multi indication acute platform.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Aidoc and Harrison.ai are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Fact | Aidoc | Harrison.ai |
|---|---|---|
| Primary category | Radiology & Imaging AI | Radiology & Imaging AI |
| Founded | 2016 | 2019 |
| Headquarters | Tel Aviv, Israel | Sydney, Australia |
| Website | aidoc.com | harrison.ai |
Side by Side
Select any grade to read the note behind it.
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
Aidoc
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Regulatory / FDA
Aidoc received FDA Breakthrough Device Designation for CARE Chest X-Ray Triage, built on its CARE foundation model, covering triage of pneumomediastinum and lobar or lung collapse.
Source -
Clinical evidence
Mercy and Aidoc released a white paper, commissioned by AVIA, reporting on five months of AI deployment across the Mercy health system.
Source -
Regulatory / FDA
The FDA cleared Aidoc's comprehensive abdomen CT triage solution, powered by its self developed CARE foundation model, bringing 11 newly cleared indications together with three previously cleared into a single 14 indication workflow.
Source
Each vendor in one paragraph
Written to be quoted whole. Each paragraph opens the AI Health Index profile of the vendor: what the product is, who buys it and what it does.
Aidoc sells clinical AI for imaging triage and follow up to health systems, delivered through aiOS, an enterprise platform that runs Aidoc's own FDA cleared algorithms alongside vetted partner algorithms and carries care coordination and patient management. Aidoc Medical was established in early 2016 in Tel Aviv and is led by cofounder and chief executive Elad Walach.
Source: AI Health Index, August 2026
Harrison.ai, headquartered in Sydney, sells radiology AI that until 2025 was sold under the Annalise.ai name. Harrison.ai combined with Annalise.ai in February 2025 and renamed the Annalise products in October 2025, and the annalise.ai domain now forwards to harrison.ai.
Source: AI Health Index, August 2026
Questions buyers ask
How do Aidoc and Harrison.ai work with the EHR?
Aidoc ingests DICOM routed or queried from PACS and VNA or sent from modalities, plus HL7 messages, and returns results to a desktop widget, the native worklist, the reporting system, or PACS as a separate series. Authentication runs through Active Directory, a dedicated single sign on, or sign on through PACS, RIS or dictation software, a practical detail in a radiology department.
With Harrison.ai, the 510(k) summary for K222268 describes the software receiving DICOM chest X-ray studies from image and order management systems such as a PACS or RIS, running in parallel with the standard workflow, and returning a case level result to the PACS or RIS for worklist prioritization. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified August 4, 2026. No vendor pays for placement.
How are Aidoc and Harrison.ai priced and sold?
Aidoc sells aiOS and its cleared modules to health systems under enterprise agreements through a demo, and maintains an AWS Marketplace listing, which makes the procurement channel public; the listing states that pricing depends on the duration and terms of the contract agreed with the vendor. Whether pricing runs per module, per study volume or per site, and how partner algorithms on aiOS are billed, is not stated.
For Harrison.ai, the products are sold to healthcare organizations (public hospitals, private hospitals and private radiology providers) by contacting the company, and the site states they are not available for purchase by the general public. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified August 4, 2026. No vendor pays for placement.
How do Aidoc and Harrison.ai handle patient data?
With Aidoc, the company's security and privacy documentation describes a new DICOM object created before upload carrying only non PHI data and a newly generated identifier; analysis runs on that object, and the identifier re-attaches PHI locally when results return.
In Harrison.ai's case, the company's privacy notice (last updated 20 November 2025), which covers its products and services as well as its websites, states that it does not use any content uploaded into its services, including demos, product trials and evaluations, for model training. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified August 4, 2026. No vendor pays for placement.
Which settings and specialties do Aidoc and Harrison.ai cover?
For Aidoc, the company reports use in more than 1,600 medical centers and names health systems including WellSpan, Mercy, Yale New Haven, St. Luke's and Renown. Validation sits at the level of each cleared indication, with its own FDA review, and the research library is organized by condition.
With Harrison.ai, the company sells chest X-ray (up to 124 findings), non contrast head CT (up to 130 findings) and chest CT (up to 167 radiological features) to public hospitals, private hospitals and private radiology providers, with solution pages for emergency and acute care and for oncology management, and states clearance for clinical use in more than 40 countries. The US triage clearances carry defined, validated populations. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified August 4, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers.
The comparison should not be run on findings counts, which are counted differently by each vendor and vary enormously in per finding performance; ask both for performance on the findings that matter in your population at your prevalence. Neither publishes a subgroup analysis. Aidoc claims its own ISO 27001 certification; ask Annalise for its security attestation. Neither publishes pricing.