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.
Keya Medical’s President of R&D, Dr. Kunlin Cao, has been recognized on the 2021 Forbes China Up-and-Coming Businesswomen list. The list highlights 20 accomplished women who have each played a significant role in shaping China’s business landscape.
Researchers at Fuwai Hospital conducted a retrospective study to evaluate the performance of Keya Medical’s deep learning-based CT-FFR product in detecting hemodynamic changes in stenosis.
Cardiovascular disease (CVD) remains the leading cause of death for women in the U.S. In honor of American Heart Month, we are highlighting the differences in women’s risk factors and primary prevention to help manage CVD in women.
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