North of the border, two grants of $200,000 are on offer for researchers innovating transformative ways to apply AI in healthcare—and they’re only one part of an ambitious academic endeavor to expand medical AI.
Both outcomes and costs may vary widely from one patient to the next even in hospitals with consistently strong quality scores. Machine learning can help optimize the selection process for each patient as an individual.
Only two of 156 scientific papers on AI published over the past 12 years used emotion as input data, according to a new literature review. And the reviewers focused on a specialty ripe for augmentation by artificial emotional intelligence: pregnancy health.
A new AI tool can accurately separate the patients who would do better getting restorative sleep till morning from those who, due to unstable condition, really need their vital signs checked overnight.