It’s time to put that technology to work widely — in ways that prioritize conscientious protocols designed to prevent bias in data gathering and use in patient care, said Nigam Shah, MBBS, PhD, a Stanford Medicine professor of biomedical data science and of medicine.
As artificial intelligence changes the way medicine is practiced, humans become more beholden to algorithms — making it crucial to get those machine-human collaborations correct at the outset.
EchoNet, developed by the Zou Lab, is advanced image post-processing analysis software designed to aid diagnostic review, analysis, and reporting of echocardiographic DICOM images for cardiac function, and was just approved by the FDA. Congrats, team!