Aidence

About Aidence

Aidence provides AI-powered clinical applications for lung cancer management, specifically through its CE-certified Veye Lung Nodules solution, which automates the detection and quantification of lung nodules in chest CT scans. This technology enhances the efficiency and accuracy of radiology workflows, facilitating standardized reporting and improving the quality of cancer care in routine clinical practice.

<problem> Radiologists face increasing workloads and time constraints, leading to potential inefficiencies and inconsistencies in diagnostic reporting. Traditional reporting methods can be time-consuming, and may not always capture all relevant information, impacting the quality of patient care. </problem> <solution> Aidence, now DeepHealth Lung, offers an AI-powered solution for automated lung nodule management in chest CT scans, enhancing the efficiency and accuracy of radiology workflows. The Veye Lung Nodules solution automates the detection and quantification of lung nodules, seamlessly integrating into existing PACS systems. Veye Reporting presents these results in a clear, customizable, and shareable report, facilitating standardized quality reporting in lung cancer screening programs. By automating and standardizing nodule measurements, DeepHealth Lung improves the quality of cancer care and helps radiologists read CT chest scans faster with clear markers for nodules. </solution> <features> - AI-driven automated detection and quantification of lung nodules on chest CTs - Seamless integration into existing radiology PACS workflows - Standardized reporting of nodule measurements - Customizable and shareable reports - Integration with Veye Reporting for clear presentation of results - AI-powered segmentation of anatomical structures and disease distribution - Longitudinal analysis for monitoring chronic lung diseases </features> <target_audience> The primary target audience includes radiologists, pulmonologists, and healthcare providers involved in lung cancer screening and management programs, as well as clinical research organizations. </target_audience>

What does Aidence do?

Aidence provides AI-powered clinical applications for lung cancer management, specifically through its CE-certified Veye Lung Nodules solution, which automates the detection and quantification of lung nodules in chest CT scans. This technology enhances the efficiency and accuracy of radiology workflows, facilitating standardized reporting and improving the quality of cancer care in routine clinical practice.

Where is Aidence located?

Aidence is based in Amsterdam, The Netherlands.

When was Aidence founded?

Aidence was founded in 2015.

How much funding has Aidence raised?

Aidence has raised 11300000.

Location
Amsterdam, The Netherlands
Founded
2015
Funding
11300000
Employees
24 employees
Major Investors
Rabo Ventures, Inkef

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Aidence

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Executive Summary

Aidence provides AI-powered clinical applications for lung cancer management, specifically through its CE-certified Veye Lung Nodules solution, which automates the detection and quantification of lung nodules in chest CT scans. This technology enhances the efficiency and accuracy of radiology workflows, facilitating standardized reporting and improving the quality of cancer care in routine clinical practice.

aidence.com7K+
cb
Crunchbase
Founded 2015Amsterdam, The Netherlands

Funding

$

Estimated Funding

$10M+

Major Investors

Rabo Ventures, Inkef

Team (20+)

No team information available.

Company Description

Problem

Radiologists face increasing workloads and time constraints, leading to potential inefficiencies and inconsistencies in diagnostic reporting. Traditional reporting methods can be time-consuming, and may not always capture all relevant information, impacting the quality of patient care.

Solution

Aidence, now DeepHealth Lung, offers an AI-powered solution for automated lung nodule management in chest CT scans, enhancing the efficiency and accuracy of radiology workflows. The Veye Lung Nodules solution automates the detection and quantification of lung nodules, seamlessly integrating into existing PACS systems. Veye Reporting presents these results in a clear, customizable, and shareable report, facilitating standardized quality reporting in lung cancer screening programs. By automating and standardizing nodule measurements, DeepHealth Lung improves the quality of cancer care and helps radiologists read CT chest scans faster with clear markers for nodules.

Features

AI-driven automated detection and quantification of lung nodules on chest CTs

Seamless integration into existing radiology PACS workflows

Standardized reporting of nodule measurements

Customizable and shareable reports

Integration with Veye Reporting for clear presentation of results

AI-powered segmentation of anatomical structures and disease distribution

Longitudinal analysis for monitoring chronic lung diseases

Target Audience

The primary target audience includes radiologists, pulmonologists, and healthcare providers involved in lung cancer screening and management programs, as well as clinical research organizations.

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