KeYaYiLiao
Deep learning-based precise non-invasive coronary functional assessment
AI Describe ImageAI HealthcareImage AnalysisCoronary Heart Disease DiagnosisMedical DevicesDeep Learning
- Pricing:
- Free plan
Overview
Keya Medical is a high-tech enterprise that focuses on artificial intelligence (AI)-powered medical imaging diagnostics. Its core product, DeepVessel FFR, uses deep learning algorithms to calculate the fractional flow reserve from coronary CT angiography, enabling non-invasive and precise coronary functional assessment and providing clinicians with decision support for the diagnosis of coronary heart disease.
Keya Medical's technology integrates medical image processing, fluid dynamics simulation, and deep learning models, enabling fully automated analysis to be completed within minutes, significantly improving diagnostic efficiency and accuracy. The product has successfully obtained the NMPA Class III medical device registration certificate and has been widely deployed in hundreds of hospitals across the country.
In addition to coronary AI, Keya Medical has also launched product lines such as pulmonary nodule AI and stroke AI, covering multi-site disease screening. The company is committed to empowering hierarchical diagnosis and treatment through AI technology, with the ultimate goal of reducing medical costs.
Core capabilities
- DeepVessel FFR
- Non-invasively calculates fractional flow reserve from CT imaging with over 90% accuracy
- Coronary AI Analysis
- Automatically identifies coronary stenosis, plaque characteristics, and vascular calcification
- Pulmonary Nodule Detection
- Intelligently detects pulmonary nodules, classifies benign/malignant, and supports follow-up comparison
- Stroke AI
- Rapidly assesses ischemic penumbra and core infarct area to aid thrombolysis decisions
- Fully Automated Workflow
- Automates DICOM image import, reconstruction, and analysis, generating reports with one click
- Multimodal Fusion
- Integrates clinical data and imaging features to provide comprehensive diagnostic recommendations
- Cloud Deployment
- Supports hybrid on-premises and cloud deployment for hospitals, ensuring data security
- Continuous Iteration
- Models are continuously trained on real-world data to steadily improve performance
Use cases
- Non-invasive screening for outpatients with suspected coronary artery disease, avoiding unnecessary invasive coronary angiography
- Rapid triage in chest pain centers, completing coronary functional assessment within 30 minutes
- Pre-interventional planning to precisely locate ischemia-related vessels before PCI
- Postoperative follow-up to evaluate stent patency and improvement in myocardial ischemia
- Coronary health screening at health examination centers to detect asymptomatic coronary disease early
- Research and teaching: analyze massive imaging data to support clinical studies
- Remote consultation: primary hospitals upload images, higher-level hospitals receive AI-assisted diagnosis
Who it's for
Cardiologists, Radiologists, Interventional physicians, Chest pain centers, Health check-up centers, Tertiary hospitals, Primary care institutions
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