Doctors using OpenEvidence will soon be able to upload an image of an electrocardiogram to get an algorithmic prediction of whether a patient has structural heart disease.
Called EchoNext, the artificial intelligence model was developed by researchers at New York-Presbyterian Hospital and Columbia University and is being commercialized by a spinout called Pathway Labs. The company this month received a sweeping Food and Drug Administration clearance for the technology that can sniff out seven forms of structural heart disease, including conditions where blood doesn’t flow properly through the organ owing to blocked or leaky valves and where the chambers of the heart don’t pump blood as well as they should, from EKG.
In addition to marketing it to hospitals, Pathway will take the novel step of licensing the technology to OpenEvidence, a medical evidence search engine that’s used by hundreds of thousands of clinicians.
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