Aiosyn (Nijmegen, Netherlands)Aiosyn
AI for digital pathology: mitosis detection in breast cancer, slide quality control and kidney tissue analysis.

Shared spot4of 13 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 based in the NL or the EU (1). 3 or 4 points is Strong, 2 Good, 1 Limited, 0 Unknown. How we measure in pathology
GDPR: Limited
- Provider based in the Netherlands
Priceon request
Free trialNot foundNot found on the provider's site when checked on 9 August 2026
Based inNijmegen, the NetherlandsNetherlands
ModelNot publicnot public, CE-marked under IVDR (Mitosis Breast), spin-off of Radboudumc
Last checked: 9 August 2026 · How we check
Is this your tool? Fill in missing detailsThis is what Aiosyn looks like
www.aiosyn.com

What it does
Automatic quality control of histology slidesMitosis counting for breast cancer grading
Quantification of renal lesions in tissue images
External slide quality assessment
Cloud and on-premise deployment
Integration with existing pathology softwareDetection of incomplete scans in digital slides
AiosynQC Pulse for external slide quality evaluation
Comparable in pathology
Proscia Concentriqon request
Aiforiaon request
Tribun Health CaloPixon request
Mindpeakon request
Sectra Digital Pathologyon request
Visiopharmon requestUnderlying model
GDPR check for pathology not disclosed, CE-marked under IVDR (Mitosis Breast), spin-off of Radboudumc. 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 Aiosyn
- Which AI model does Aiosyn use?
- The maker of Aiosyn does not publicly disclose which AI model sits underneath. CE-marked under IVDR (Mitosis Breast), spin-off of Radboudumc.
- How much does Aiosyn cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is Aiosyn for?
- Aiosyn focuses on pathology, healthcare. It fits work such as digitising and managing tissue slides in an image management system (scanners, IMS, archive), detecting and grading cancer on H&E slides (e.g. Gleason score, mitosis counting, tumour size), and counting and quantifying biomarkers in IHC stains (HER2, ER/PR, Ki-67, PD-L1).
- What should I watch out for with AI in pathology?
- You process special category personal data (health) and sometimes data for genetic research. Software for diagnostic use is an in vitro diagnostic medical device: check whether the algorithm is CE-marked under the IVDR for your exact application and tissue type. Many apps are 'research use only'. Choose providers with ISO 27001 and ISO 13485, a data processing agreement and clear data location (EU hosting or on-premise). Also ask whether your slides are used to train models. Under the EU AI Act, medical AI falling under the IVDR is classed as high-risk. Validate every algorithm locally on your own scanner and stains before using it in routine practice.
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