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Key Features

  • Classification of risk of having ovarian cancer

General Information

Product name

TRACE4OC

Subspeciality

Abdomen

Modality

Ultrasound

Disease targeted

Ovarian cancer

Main task

Not specified

Technical Specifications

Population

Women at risk of ovarian cancer on the recommendation of gynecology specialists

Patient population age

Not specified

Input

Transvaginal US, 2D, single slice, ovarian mass, CA-125

Input format

DICOM

Output

Classification of medium-high risk vs very low risk, automated report

Output format

PDF

Integration

Stand-alone third party application

Deployment

Locally on dedicated hardware

Trigger for analysis

Etc., Image upload, On demand, Triggered by a user through e.g. a button click

Processing time

3 - 10 seconds

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class I

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

05-2021

AI Platforms

Not specified

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of installations, Number of users

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

A decision support system based on radiomics and machine learning to predict the risk of malignancy of ovarian masses from transvaginal ultrasonography and serum CA-125

Source: vendor | First published: Nov 18, 2021 | Last updated: Jul 9, 2025