David Ouyang
FounderMD 2014, UCSF Internal Medicine Residency 2017, Stanford Cardiology Fellowship 2020, Stanford Cardiologist, Cedars Sinai Medical Center
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At InVision, we use AI to help streamline the interpretation of ultrasounds and identify diseases that may have been missed by human readers. Our models have been tightly integrated into the clinical workflow to allow easy usage by clinicians. Our work has previously been peer-reviewed and published in several top medical venues, including Nature (2020), Nature Medicine (2021), Lancet Digital Health (2021), JAMA Cardiology (2022). Results from our blinded and randomized clinical trial on evaluating cardiac function have also been recently presented as a Late Breaking Clinical Trial at the European Society of Cardiology.
Previously EchoNet, InVision
MD 2014, UCSF Internal Medicine Residency 2017, Stanford Cardiology Fellowship 2020, Stanford Cardiologist, Cedars Sinai Medical Center
PhD Computer Science 2022, Stanford University BS Computer Science 2015, California Institute of Technology
Founded 2022 · Source
Source-based assessment · automated evidence rules
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