When trained on routine health data and observation notes gathered by homecare aides, AI can be used to anticipate medical emergencies in the elderly one to two weeks ahead of an incident. The advance insights can both guide preventive care and save on unnecessary hospital and transportation costs.
Machine learning can accurately predict which patients will not live beyond 30 days after discharge from the ER, giving these patients time to discuss end-of-life care with family members and hospice professionals.
China’s use of facial recognition software to encourage good citizenship has drawn international criticism, but now the country is turning to the technology for help with a worthy healthcare cause: finding elderly people with dementia who’ve lost their way.
In the wake of Alexa’s success at gaining HIPAA-compliant medical skills, AI developers are working to offer smart speakers that do everything from warning homebound people they’re having a heart attack to taking clinical notes for physicians during patient visits.
Walgreens store associates and managers across the U.S. will soon be equipped with small, AI-powered devices that will allow them to remain “heads-up and hands-free” while communicating among themselves to help customers.
Dermatology researchers have mined Reddit discussion forums with natural language processing and come away with some surprising insights into patients’ at-home skin treatments for conditions like acne, eczema and psoriasis.
Following its search engine-based entry into algorithmic suicide prevention this past spring, the Trevor Project is fine-tuning Google’s AI technology by training algorithms on both initial conversations with counselors and the counselors’ post-session risk assessments.
Uber Health, the healthcare subsidiary of rideshare company Uber, has granted access of its American fleet to a blockchain startup. The relationship establishes blockchain and cryptocurrency in the healthcare space.