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Cervical cytology Cytologists Support AI systems

CYTOASSIST

The system significantly reduces cytologists workload with the LBC (liquid based cytology)
sample image analysis systems using AI technology.

About cervical cytology

The rate of cervical cancer screening in Japan is 40% which is lower compared to western countries.
However, the rate has been on the increase recently.1-2)

Health care facilities are said to be chronically in short of cytologists
who analyze samples of cells that are obtained from cervical cytology specimen.

a graph for the correlation between the number of cytodiagnosis and cytologists

Product Description

SaaS-type AI aided Cervical Screening System

CYTOASSIST assists cytologists in double-checking the image of cells being examined with a microscope
that are determined by cytologists.
It also reduces time for microscopic examination and cytologists workload in laboratory settings
where there is a chronic shortage of labor.
The product supports every aspect of cytologists work from the Bethesda classification scheme,
a heatmap image of the area where the test result was determined,
to automatic input of clinical findings into the report.

a image to use CYTOASSIST

Workflow of cytological examination

What CYTOASSIST can support

High judgment performance

Classification of positive / negative: Accuracy is 96%
Classification of 15 types: Accuracy is 92%

Co-development Organization

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