Which AI model does Aidoc aiOS use?

The maker of Aidoc aiOS does not publicly disclose which AI model sits underneath. Proprietary CARE foundation model for clinical imaging; the platform runs on AWS and Azure, NIST Cybersecurity Framework. EU data location not stated on the security page, ask and conclude a data processing agreement.

How much does Aidoc aiOS cost?

On request. Check the current price on the provider's website; rates change often.

Who is Aidoc aiOS for?

Aidoc aiOS is aimed at radiology & medical imaging, healthcare. It suits work such as detecting and flagging abnormalities on X-ray, CT and MRI (fractures, nodules, embolisms, bleeds), prioritising the worklist by urgency and pre-sorting normal studies, quantitative analysis of brain, lung and prostate images, and comparison with previous scans.

What should I look out for with AI in radiology & medical imaging?

Image analysis AI is a medical device: only use software with a CE marking under the MDR (class IIa or higher) for the exact purpose you deploy it for, and document how you validate and keep monitoring performance locally. You process special category personal data: ask where images are processed (on-premise, EU cloud or outside), whether they are pseudonymised and whether they are used for training, and sign a data processing agreement. Many vendors run on AWS or Azure or have been acquired by US groups, so check the current data location. The radiologist remains ultimately responsible for the report.

Home / Radiology & medical imaging / Aidoc aiOS

Aidoc (Tel Aviv, Israel)

Aidoc aiOS

Platform that runs CE-marked algorithms within hospital IT and flags urgent findings on CT scans (e.g. bleeds, pulmonary embolism) and alerts the right team. Used at, among others, Isala, UMC Utrecht and Erasmus MC.

Go to website Aidoc aiOS alternatives

Spot14of 14 professional tools on GDPR profile in radiology & medical imaging

GDPR: Unknown

Provider based outside the EU

Each block is a professional tool in radiology & medical imaging, with the strongest GDPR profile on the left. Click for that tool.

Priceon request

Free trialNone foundNot found on the provider's site when checked on 3 November 2026

Based inTel Aviv, IsraelOutside EU

ModelNot publicproprietary CARE foundation model for clinical imaging; platform runs on AWS and Azure, NIST Cybersecurity Framework. EU data location not stated on the security page: ask and conclude a data processing agreement.

Last checked: 3 November 2026 · How we check

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What it does

Triage of urgent findings on CT/XR

Suite of CE-marked algorithms

aiOS: connection with PACS/EHR/RIS

Third-party algorithms too, in one UI

CARE foundation model

Real-time mobile notifications

Care coordination and patient follow-up

Comparable in radiology & medical imaging

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Underlying model

proprietary CARE foundation model for clinical imaging; platform runs on AWS and Azure, NIST Cybersecurity Framework. EU data location not stated on the security page, ask and conclude a data processing agreement. Many tools build on a large model from, for example, OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it sets out where your data goes.

GDPR check for radiology & medical imaging

Questions about Aidoc aiOS

AI for radiology & medical imaging AI for healthcare

Which AI model does Aidoc aiOS use?: The maker of Aidoc aiOS does not publicly disclose which AI model sits underneath. Proprietary CARE foundation model for clinical imaging; the platform runs on AWS and Azure, NIST Cybersecurity Framework. EU data location not stated on the security page, ask and conclude a data processing agreement.
How much does Aidoc aiOS cost?: on request. Check the current price on the provider's website; rates change often.
Who is Aidoc aiOS for?: Aidoc aiOS is aimed at radiology & medical imaging, healthcare. It fits work such as detecting and flagging abnormalities on X-ray, CT and MRI (fractures, nodules, embolisms, bleeds), prioritising the worklist by urgency and pre-sorting normal studies, quantitative analysis of brain, lung and prostate images, and comparison with previous scans.
What should I look out for with AI in radiology & medical imaging?: Image analysis AI is a medical device: only use software with a CE marking under the MDR (class IIa or higher) for the exact purpose you deploy it for, and document how you validate and keep monitoring performance locally. You process special category personal data: ask where images are processed (on-premise, EU cloud or outside), whether they are pseudonymised and whether they are used for training, and sign a data processing agreement. Many vendors run on AWS or Azure or have been acquired by US groups, so check the current data location. The radiologist remains ultimately responsible for the report.

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