AI-Driven Coronary Calcification Detection
Coronary Artery Disease is the Leading Global Cause of Mortality.
It Can Be Detected by Calcification Analysis from CT examination.
Medical AI Technology Achieves high accuracy of 99.2% in Coronary Artery Calcification Detection.
Reduce Work Fatigue and Save Time.
Medical AI Technology Replaces Cumbersome Manual Tasks.
Medical AI automatically segments and labels cardiac structures.
In complex cardiac structures, only the calcifications within the coronary arteries can be clearly detected, thereby improving the accuracy of cardiovascular disease analysis.
The task is completed quickly and accurately with low interreader variation.
Detect and analyze calcium within the coronary arteries from cardiac exams and chest CT images.
Proprietary kernel conversion technology improves accuracy and performance for quick analysis.
Identifying calcium on low-dose chest CT images can be challenging with the naked eye.Medical AI assists in detecting even those cardiovascular conditions that might be overlooked.
Communication with patients becomes easier.
Accurate reading and swift processing.
Quantified 'Coronary Artery Calcium Score' makes diagnosis results easily comprehensible.
Patients and medical professionals can communicate more effectively and precisely with quantified results during consultations.
Are you working on a clinical study? Use rich results for your research.
An automated report is generated, providing accurate and detailed results.
The results include a calcification score, along with a detailed risk and age analysis by vessel, to assist patients in understanding their diagnosis. The analyzed result values are extracted as CSV files and PDF files and can be found within the PACS System.
Our solution demonstrates remarkable concordance,not just in cardiac CT scans but also in low-dose CT (LDCT) scans.
Fully automatic coronary calcium scoring in non-ECG-gated low-dose chest CT: comparison with ECG-gated cardiac CT
Deep Learning for Automatic Calcium Scoring in Population-Based Cardiovascular Screening