When a black-box algorithm guides a physician’s diagnostic or therapeutic judgments, its intrinsic opaqueness can confound subsequent steps toward clinical safety and efficacy—and that’s just for starters.
Medical educators have used machine learning to reconsider—and ultimately select—some 20 qualified residents who had been screened out by human reviewers at their institution.
True or false? Each time a software developer significantly updates an FDA-approved Software as a Medical Device product, the SaMD faces possible re-review by the agency.
An AI tool for managing pediatric asthma shaved 7.8 minutes from the time pediatricians spent dealing with electronic health records in a randomized clinical trial conducted at the Mayo Clinic.
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.
Deep learning can accurately distinguish dementia from mild cognitive impairment by looking at pictures of analog clocks as drawn by individuals thought to be affected.
AI-aimed blasting of kidney stones from outside the body hit intended targets at a 75% clip in a proof-of-concept study, pulverizing conventional lithotripsy, which missed the mark almost half the time.
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.
The model’s consistent overall accuracy demonstrates the reusability of existing COVID algorithms with recalibrations rather than fallbacks to square one, AI developers suggest.
