Automated COPD Analysis AI Solution

Brain Hemorrhage Diagnosis Assistance Solution

Coronary Artery Calcification Analysis Solution

Coronary Artery Disease is the leading cause of mortality worldwide.
Early detection through calcification analysis on CT scans is crucial.
Supports the detection of Coronary Artery Calcification.

aview CAC | Automated COPD Analysis AI Solution

Automated workflows

Medical AI technology automates calcification analysis.

Medical AI automatically segments and labels cardiac structures.
Calcifications within the coronary arteries can be detected and visualized from CT images, helping to distinguish them within complex cardiac structures.
Automated analysis provides consistent calcification detection results.

aview CAC | Reduce Work Fatigue and Save Time

Analysis of chest CT images

Detect and analyze calcium within
the coronary arteries from cardiac exams and chest CT images.

Proprietary kernel conversion technology supports analysis of CT images.

Calcification can be identified on chest CT images using AI-assisted analysis.
Medical AI assists clinicians in detecting coronary artery calcifications on CT images.

Support for Clinical Decision and Patient Understanding

Deliver quantified coronary artery calcium scores derived from CT images to support clinical assessment.

Visualize quantified calcium scores to facilitate patient communication.

Communication

Utilize analysis results of coronary artery calcification.

Are you working on a clinical study?
Use comprehensive analysis results for research purposes.

Generate automated reports providing calcification analysis result.

The results include a calcification score along with vessel-based information and age- and gender-based CAC risk categories. The analyzed result values are extracted as CSV files and PDF files and can be found within the PACS System.

Reading report
Report

Publications

Refer to the following research papers

These contents represent summaries of scientific
publications and are unrelated to any form of advertising

The objective of this study is to validate an artificial intelligence (AI)–based fully automatic coronary artery calcium (CAC) scoring system on non-electrocardiogram (ECG)–gated low-dose chest computed tomography (LDCT) using multi-institutional datasets with manual CAC scoring as the reference standard.
The Coreline Soft Aview CAC, an AI-based automatic CAC scoring software to LDCT shows good to excellent reliability in CAC score and CAC severity categorization in multi-institutional datasets.

Young Joo Suh, Cherry Kim, June-Goo Lee, Hongmin Oh, Heejun Kang, Young-Hak Kim & Dong Hyun Yang. "Fully automatic coronary calcium scoring in non-ECG-gated low-dose chest CT: comparison with ECG-gated cardiac CT" European Radiology volume 33, pages1254–1265 (2023)
The objective of the current study was to evaluate the performance of deep learning–based software (CAC, Corelinesoft) for automatic coronary calcium scoring in a screening setting.
The deep learning–based software for automatic CAC scoring performed excellently in a population-based screening setting to determine risk categorization in asymptomatic participants.
Future deep learning software that is able to assign a limited number of uncertain cases for manual human feedback could improve the calcium scoring process and outperform (a panel of) experienced readers that solely use manual scoring.

Marleen Vonder PhD, Sunyi Zheng PhD, Monique D. Dorrius MD, PhD, Carlijn M. van der Aalst PhD, Harry J. de Koning MD, PhD, Jaeyoun Yi PhD, Donghoon Yu MSc, Jan Willem C. Gratama MD, PhD, Dirkjan Kuijpers MD, PhD, Matthijs Oudkerk MD, PhD "Deep Learning for Automatic Calcium Scoring in Population-Based Cardiovascular Screening" JACC: Cardiovascular Imaging Volume 15, Issue 2, February 2022, Pages 366-367

More Publications

Intended purpose

AVIEW is intended to support CT interpretation by providing information on the detection of pulmonary nodules and the analysis of coronary artery calcification, and by enabling inquiry and analysis of medical images through functions such as zoom in/out, segmentation, and quantification. It also provides capabilities to store, transfer, and display output results.

Intended user

Healthcare professionals, such as radiologists, physicians, can interpret thoracic CT with or without abnormal findings.

Warning

Please use the product for its intended purpose when in use.
Software installed on a PC can be infected by malicious software if it is connected to a network with the following conditions
1. In case of exposure to malicious code
2. In case of absence of PC security solution installation
If the software is installed on a PC is infected with malicious software, normal software use might be unavailable, or the integrity of the saved data could become corrupt.
Any serious incident that has occurred in relation to the device should be reported to the manufacturer and the competent authority of the Member State in which the user and/or patient is established.

Caution

For detailed information on cautions, please refer to the instructions for use.