Deep learning-based CT-FFR has demonstrated potential in improving the diagnosis of patients with coronary artery disease. Learn more about how deep learning-based CT-FFR can help improve patient outcomes in this introductory guide.
The expression “time is brain” has been used to demonstrate the importance of urgency in treating stroke patients. Learn more about how AI can help transform the diagnosis and treatment of stroke patients to improve outcomes.
Keya Medical has received regulatory approval in China for its DeepVessel 3D Visualization Processing Software. The AI-based software medical device is designed for visualization reading of multiphase CT images and 3D models.
A new study conducted by researchers at the First Affiliated Hospital of Jinan University demonstrates that deep learning-based CT-FFR (DL-CTFFR) can reduce the need for invasive coronary angiography (ICA) and improve outcomes in patients with stable coronary artery disease (CAD).
Evidence is building in support of a coronary CTA-first strategy for evaluating patients with stable coronary artery disease. Learn more about the current evidence, guidelines, and recommendations.