Alums partner with Mayo Clinic to develop ML algorithms to detect heart disease

SCET alums at Eko, a healthcare device company, have recently partnered with the Mayo Clinic to develop technology that uses machine-learning to help physicians better detect easily-missed heart diseases in patients.

SCET alum
SCET alumni & co-founders of Eko Devices (from left to right) Jason Bellet, Connor Landgraf, and Tyler Crouch

According to AI in Healthcare:

Through the collaboration, the companies hope to create and commercialize a machine-learning based algorithm, which along with a smart digital stethoscope, will be used to screen patients for a weak heart pump. The condition is typically measured by imaging techniques, like an echocardiography, according to companies.

“It’s a privilege to collaborate with Mayo Clinic on this technology that can assist physicians with their patients’ cardiovascular care,” Eko CEO Connor Landgraf said in a statement. “By co-developing this technology, we can combine the knowledge of millions of ECGs and healthcare screenings to get an almost instantaneous snapshot of a patient’s heart.”

The technology will use the Mayo Clinic’s cardiovascular database and knowledge in medical artificial intelligence and heart disease screening. The companies hope the algorithm will help screen patients faster, which means earlier detection of any heart function abnormalities.

The Sutardja Center would like to congratulate Eko on this major accomplishment! Read more about how Eko was named one of Time Magazine’s Best Inventions here.

Read the whole story at AI in Healthcare.

Eko
Eko stethoscope
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