Rad AI vs TeraRecon (2026)
Two ways to put AI into a radiology department that overlap less than the category label suggests. TeraRecon is imaging infrastructure: vendor neutral advanced visualization and an AI Framework that runs its own algorithms, third party algorithms and a site's in house models through one PACS integration, with physicians accepting or rejecting results before they reach the report. Rad AI never touches the image; it generates the report impression from the radiologist's own dictated findings, learning their language from prior reports, and the radiologist signs every report. A large radiology operation may run both. The governance point on TeraRecon is that third party algorithms on its platform carry their own regulatory status, which the platform does not show, so diligence returns for each one.
- It works on the report rather than the image, generating the impression from the radiologist's own dictated findings and learning that radiologist's language from prior reports.
- The workflow enforces oversight: the model drafts and the radiologist signs, with no path to a released report that nobody read.
- It publishes operational figures with named baselines, including follow up completion, rather than adoption counts.
- Vendor neutral visualization is the base: TeraRecon AV reads CT, MR and other modalities in 2D, 3D and 4D, independent of scanner or archive vendor, at more than 2,000 hospitals by its own count.
- One integration for many models: the AI Framework runs TeraRecon's own algorithms, third party algorithms and a site's in house models through one PACS connection, with physicians accepting or rejecting results before they reach the report.
- Conformance published: indications for use and IHE, DICOM and HL7 conformance statements are public, and ISO 27001:2022 certification was announced in 2023.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Rad AI and TeraRecon 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 | Rad AI | TeraRecon |
|---|---|---|
| Primary category | Radiology & Imaging AI | Radiology & Imaging AI |
| Founded | 2018 | Not recorded |
| Headquarters | Berkeley, California | Fremont, California |
| Website | radai.com | terarecon.com |
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.
TeraRecon
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Product / capability
TeraRecon released TeraRecon Neuro, a new software package designed to assist clinicians in diagnosing and treating neurovascular emergencies such as stroke.
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.
Generative AI for radiology reporting and follow up. Rad AI Reporting is a cloud native reporting system with real time quality checks before sign off; Rad AI Impressions (Omni Impressions) drafts the report impression from the radiologist's dictated findings, customized to each radiologist's language from the site's de identified historical reports; Omni Unchanged carries stable findings forward from prior reports; Rad AI Continuity tracks follow up recommendations through the EHR and RIS.
Source: AI Health Index, August 2026
TeraRecon, a ConcertAI company, sells advanced visualization and AI workflow software for radiology and cardiology. TeraRecon AV (registered as Intuition outside the US) is vendor neutral 2D, 3D and 4D visualization, measurement and reporting across CT, MR and other modalities, with modules for cardiac, structural heart, perfusion and neuro work.
Source: AI Health Index, August 2026
Questions buyers ask
How are Rad AI and TeraRecon priced and sold?
Rad AI sells through agreements with radiology practices and health systems, and inquiries go through a demo request.
The site shows how the offer is structured: TeraRecon AV (Intuition) for advanced visualization, TR Neuro, DETECT and the AI Framework, sold through a demo request and delivered installed or as a cloud service with professional services for integration. 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 Rad AI and TeraRecon handle patient data?
In Rad AI's case, the security page describes a de identification pipeline specialized to radiology reports, and the FAQ says the models are trained on de identified historical reports, with no images, and customized for each site from three to five years of its de identified reports.
The footer links a privacy policy and a Data Privacy Framework policy for EU to US transfers, and a RACI matrix for TeraRecon Cloud services, none of which sets out what happens to imaging. The Eureka indication says the platform sends images to hosted external systems for processing according to routing rules the user defines. 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 Rad AI and TeraRecon cover?
With Rad AI, the products cover report generation, impression drafting and follow up of incidental findings, sold to hospital radiology departments, physician owned practices and teleradiology groups; named users include AdventHealth, Advocate Health, Emory, Inland Imaging, LucidHealth and Trinity Health, and four health systems are strategic investors.
TeraRecon says more than 2,000 hospitals use its software worldwide. 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 much do Rad AI and TeraRecon leave to the clinician?
The company's FAQ states that a licensed radiologist must always review the AI generated impression, edit it as needed and sign the final report; Rad AI Reporting runs real time quality checks before sign off, and the security page describes human in the loop quality assurance since 2019. The company also states the tool catches clinically significant errors in the radiologist's dictation in about 5 percent of reports.
With TeraRecon, the AI Framework page says physicians control and review AI findings before committing them to the patient record or reporting system. The Eureka Clinical AI indication says users can accept or reject AI metadata, that the platform does not alter the original image, and that it is not intended to give a diagnosis or measurements used for decisions. 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.
Rad AI's record has not yet been reviewed on this site, so its side of this page rests on the build record. Rad AI holds no clearance for any product in its portfolio, consistent with reporting assistance rather than diagnosis, but confirm that against how your organization intends to use carried forward findings. TeraRecon publishes no clearance numbers for its own AI devices. Neither publishes pricing.