Public source
Reviewed 4 Jun 2026
Completeness Fair (31%)
Ummon AutoReader (phased out)
Ummon HealthTechUmmon AutoReader digital cytology reader designed for cervical cancer screening. It utilizes artificial intelligence to automatically identify and count cells that co-express p16 (a tumor suppressor) and Ki-67 (a cell proliferation marker) on liquid-based cytology slides.
No papers to support — we monitor for new evidence.
General Information
Product name
Company
Modality
Main task
Subspeciality
Organ/Specimen source
Not specified
Disease targeted
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Regulatory Information
Pathway:
In Vitro Diagnostic Directive (IVDD)
Class:
General IVD Devices
Not verified by Health AI Register
Scanner Brands Certified for Use (CE-IVD)
Not specified
Scanner Models Certified for Use (CE-IVD)
Not specified
Other certifications
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Evidence & Research
No research papers or evidence on file yet.
The registry monitors publications for new evidence.
Technical Specifications
Patient population age
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Input
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Input format
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Output
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Output format
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Integration
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Deployment
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Trigger for analysis
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Processing time
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Population
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Viewer systems
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Market Presence
On market since
AI Platforms
Resellers
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Countries present
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Paying clinical customers
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Research/test users
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Pricing Information
Pricing model
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Based on
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Source: Public | First published: Apr 24, 2026 | Last updated: Jun 4, 2026