AI for Smarter Healthcare
Keya Medical is a medical technology manufacturer developing cardiovascular and neurological solutions using AI that enable healthcare delivery organizations to provide better patient care.
Since 2016, the company has combined advanced deep learning algorithms with other technologies to provide accurate diagnosis and treatment solutions to medical institutions around the world.
Today, Keya Medical has partnered with over 200 healthcare systems around the world, and the company’s products are used in Chinese hospitals, coronary catheterization labs, and imaging centers.
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
On January 15, 2020, the National Medical Products Administration (NMPA) in China issued the registration certificate approving DeepVessel FFR for clinical use.
CuraRad® – ICH
Who do we work with
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.
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.
Start a collaboration with Keya Medical
Keya Medical announced that it has completed a $30 Million Series C Funding Round led by IDG Capital, with participation from investors Alwin Capital, Source Code Capital, and Tasly Group.
We have compiled a list of free virtual events hosted by professional organizations that will take place in November, covering topics in cardiology, radiology, and AI.
Examine the current challenges for coronary CTA reimbursement, the potential effects it will have on patient care, and what medical imagers can do to help improve reimbursement moving forward.