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Thirona (Nijmegen, Netherlands)Thirona LungQ
AI analysis of lung CT scans for hospitals and pharma: segmentation and quantification of lung structures in conditions such as COPD and asthma.

Shared spot25of 50 professional tools with a GDPR profileOur summary of what the provider itself publishes about your data: whether the data is stored in the EU (2 points), whether there is a certification or GDPR guarantee (1) and whether the provider is established in the Netherlands or the EU (1). 3 or 4 points is Strong, 2 Good, 1 Limited, 0 Unknown. How we measure in healthcare
GDPR: Limited
- Provider based in the Netherlands
Priceon request
Free trialNone foundNot found on the provider's website when checked on 22 September 2026
Based inNijmegen, the NetherlandsNetherlands
ModelNot publicnot public (proprietary image-analysis AI)
Last checked: 22 September 2026 · How we check
Is this your tool? Fill in missing detailsThis is what Thirona LungQ looks like
thirona.eu

What it does
AI segmentation of lung lobes and segments on CT
Quantification of lung tissue and fissure completeness
Analysis of airways and lung structures
Treatment planning for COPD and lung cancerNavigation support for bronchoscopic procedures
FDA 510(k)-cleared (v3.0.0, Jan 2024)
Validated in 200+ scientific publications
In use at 600+ hospitals
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Attendion request
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Underlying model
GDPR check for healthcare not public (proprietary image analysis AI). Many tools build on a large model from, for example, OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it states where your data goes.
Questions about Thirona LungQ
- Which AI model does Thirona LungQ use?
- The maker of Thirona LungQ does not publicly disclose which AI model sits underneath. (Its own image analysis AI.)
- How much does Thirona LungQ cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is Thirona LungQ for?
- Thirona LungQ is aimed at healthcare, radiology & medical imaging. It fits work such as drafting consultation reports and summaries, making patient information easier to understand, and searching protocols and guidelines.
- What should I watch out for with AI in healthcare?
- Medical data is special category personal data. Only use solutions with appropriate safeguards (GDPR, EU hosting) and no training on patient data; a healthcare provider remains ultimately responsible.
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