Subscribe to our monthly newsletter to receive exclusive news updates and medical AI insights.
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).
Dr. Kunlin Cao, President of Keya Medical R&D, participated in the Cardiovascular Disease Imaging Forum at QICCD 2020 alongside Dr. Pengfei Zhang of Shangdong University.
Dr. Kunlin Cao delivered a keynote address at the China AI in Medical Imaging Conference on Keya Medical’s experience bringing AI-powered medical imaging solutions to clinical use.
Recent research demonstrates applications for CCTA to be used as the default test for evaluating patients with stable chest pain.
On Sept. 18, Keya Medical was recognized as the winner of China’s Most Promising Company award because of its leading R&D team and innovative cardiovascular product line.
CuraRad-ICH is now available on the Nuance AI Marketplace for Diagnostic Imaging, the first and largest workflow-integrated market.
On Sept. 10, Keya Medical was invited to deliver an academic lecture to more than 130 imaging departments in honor of the newly established Northern Jiangsu People’s Hospital Medical Imaging Alliance.
Dr. Xinyang Hu delivered a special lecture during QICC 2020 on the clinical significance of non-invasive CT-FFR.
The European Society of Cardiology (ESC) Congress 2020 revealed opportunities and challenges in cardiovascular imaging AI.
ESC Updated Guidelines on Acute Coronary Syndromes in Patients Presenting without Persistent ST-Segment Elevation
The European Society of Cardiology published new clinical practice guidelines on managing acute coronary syndromes in patients.
Keya Medical announced on Aug. 13 that it has raised over $20 million in Series B+ funding.
CuraCloud scientists presented research results on simultaneously classifying and segmenting intracranial hemorrhage using deep learning at ISBI 2020.
DeepVessel FFR was successfully implemented in Luohe Sixth People’s Hospital.