The academic medical institution that maintains the world’s best-stocked library of curated, patient-deidentified and AI-ready data is going 100% open source with its digital riches.
Along with AI in its various iterations, the list may include virtual and augmented reality, 3D printing, robotics and other technologies currently changing healthcare delivery.
Going on a year and a half since its debut as a COVID symptom checker, one virtual health assistant is now trained on 17 million patient interactions.
An online survey completed by more than 900 U.S. adults reveals an overall openness to AI for several scenarios in healthcare.
A Silicon Valley icon has debuted a healthcare-specific data engine aimed at collating actionable information from data siloes operating within hospitals and health systems.
Reporter Steve Lohr interviewed IBM insiders and close observers en route to finding Watson’s current leadership evidently humbled, cautioned and determined to pursue more sober goals.
At one of the largest medical schools in the U.S., less than a third of the students and only half the faculty are up to speed on healthcare-specific AI.
Healthcare professionals looking to raise their AI game have a new chance to do so while earning CME credits as well as certification.
With AI-inclusive devices routinely earning regulatory approval for use in clinical settings, the time seems ripe for helping technology translators talk above the din of visionary futurists.
The data will draw on everything from census findings to driving habits gathered from vehicle sensors to—arguably most consequentially—medical records.
Along with AI and machine learning, the list may include virtual and augmented reality, 3D printing, robotics and other technologies currently changing healthcare delivery.