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Enlitic Curie|ENDEXTM ENCOGTM

ENSIGHTTM |ENDEXTM ENCOGTM

<Making medical images more user-friendly>

Various images are used for diagnosis in medical settings.
<ENDEXTM uses AI to organize and standardize image tag information>
<ENCOGTM uses AI to identify and anonymize personal information in images>
These functions facilitate image search from databases,
contributing to reducing doctors' image reading time and accumulation and utilization of image data.pixta_57446307_M.jpg





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Curie | ENDEXTM ENCOGTM Functions and Features

Volume & Density Analysis
Organizing and Standardizing DICOM Images

We organize and standardize DICOM tag information that lacks unified rules and differs between facilities.
Using AI, we organize tag information with a more accurate and unified terminology system based on the image information itself and accompanying tag information.



Topographic MPR
Facilitating DICOM Image Search

A unified terminology system makes image searching easier.
More accurately corrected tag information simplifies setting search conditions for images, reducing the time needed to find necessary images.
Subpleural View
Reducing Reading Time with Hanging Protocols
Organized tag information, when integrated with your viewer, greatly improves the accuracy and convenience of hanging protocols that automatically display target images. By automatically displaying necessary images, it contributes to reducing reading time.

※1:In European results, a reduction of 22-43 seconds per case
※2:Some viewers may not be compatible for integration


Tracheal Analysis

Anonymizing Personal Information in DICOM Images

It removes personal information such as names and birthdates included in tag information. Additionally, it's possible to selectively delete only personal information from various details recorded on the image while retaining information necessary for diagnosis.

Usage Scenarios

Promotion of Medical Collaboration

By organizing, standardizing, and anonymizing with this product, it becomes possible to construct a medical image database between multiple facilities.

Inter-facility Research

Facilitates data analysis between multiple facilities based on unified image information.

 
 

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