Keya Medical
AI for Smarter Healthcare
Keya Medical Raises Over $20 Million in Series B+ Financing Round
Keya Medical
Keya Medical was founded in 2016 to harness artificial intelligence to develop innovative diagnostic products that improve healthcare. Collaborating with leading healthcare systems in North America, Europe, and Asia, Keya Medical provides AI-enabled technology that helps medical professionals deliver better care.
DEEPVESSEL FFR
DEEPVESSEL FFR* uses deep learning technology to perform a non-invasive physiological functional assessment of the coronary arteries using coronary CT angiogram scans. The software reduces unnecessary invasive testing to lower costs and complications.
*CE Marked, National Medical Products Administration (NMPA) Approved. Not for sale in the United States.
DEEPVESSEL FFR Approved for Clinical Use in China
DEEPVESSEL CARS
Who do we work with
Healthcare Delivery
Keya Medical is committed to developing medical imaging AI solutions in collaboration with healthcare providers. Since 2016, we have worked with more than 200 hospitals around the world.
Payers
Keya Medical is continuing to develop new solutions to improve cardiovascular disease diagnosis and treatment. We invite payers to continue the conversation on how our solutions can create savings.
Investors
Keya Medical is funded by visionary investors who want to make a positive social impact and benefit from the potential expansion of medical AI.
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Latest News
QICCD 2020: Diagnosis and Treatment of Cardiovascular Disease
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.
Keya Medical Presents at the Second Congress of China AI in Medical Imaging Conference
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.
Innovation Fast and Slow: The Case for Coronary CT Angiography
Recent research demonstrates applications for CCTA to be used as the default test for evaluating patients with stable chest pain.
