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.
The COVID crisis will spur leaders of life sciences companies around the world to focus on longstanding pain points that AI could help alleviate. And the execs are looking to put their money where their responses are.
When it comes to predicting an individual’s risk of suffering a heart attack or stroke over the next 10 years, machine learning models are no more consistent than traditional statistical techniques.
Along with AI, this ongoing list includes regulatory clearances of virtual and augmented reality, 3D printing and other emerging technologies targeted for healthcare.
A university, health system and tech giant are piloting the use of deep learning with IoT and edge computing to block COVID-19 from infiltrating a 548-bed hospital.
As AI inches into the workflows of residency program directors, many may need to prepare against delegating too much of the laborious candidate-selection task to an algorithm.
Leaders of the venture, dubbed “Project Amber,” are open-sourcing their technology and findings in the hope that other mental health researchers can take things from here.
The forward slash-shaped rise reflects broad participation from corporations, companies, businesses, organizations, individual inventors and other innovating entities.
