Microsoft is launching a regional hub for AI, Internet of Things and data science in Louisville, Kentucky, according to Mayor Greg Fischer, with a focus on collaborating with partners in healthcare and manufacturing.
A year ago, U.S. military researchers presented an algorithm that can tell an individual how much caffeine to consume, and when, to achieve optimal alertness. Now they’ve turned the technique into a freely available tool for “designing effective strategies to maximize alertness while avoiding excessive caffeine consumption.”
Cancer patients undergoing chemotherapy often share word of their adverse reactions to the drugs in online health forums. Researchers at Stanford have used natural language processing to mine these posts, accurately flagging detrimental side effects well before clinical journals advise caution.
Facial recognition technology can be used to monitor sedated patients in intensive care units, alerting healthcare workers when a patient is at risk of accidentally removing a breathing tube or engaging in other risky behavior.
AI continues to wow healthcare watchers with sharp guidance on clinical decisionmaking, accurate aids to risk assessment and bankable workflow efficiencies. But healthcare was, is and always will be about “human-to-human relationships, trust and healing.”
The U.K. is taking on a big pilot program with 500,000 people being remotely monitored at home using AI to analyze all the incoming data. The program by the National Health Service underscores where AI is likely to have the biggest impact in healthcare––non-consumption, or areas where there isn’t an affordable or convenient solution for consumers.
Comcast is venturing into the health business with a new technology that aims to monitor people’s health at home, CNBC reported. The device has been likened to Amazon’s AI-powered voice technology Alexa.
People who struggle to get a good night’s sleep and seek medical help for the problem are producing mega data on things like eye movement, breathing, brain activity and restless legs. Which is to say sleep medicine is as ripe as any field in healthcare for help from AI.
A natural language processing algorithm has achieved 90% precision in automatically spotting signs of social isolation in cancer patients by “reading” clinical notes in a hospital’s electronic health record.