Michigan Engineering | University of Michigan Regulators pinned their hopes on clinicians being able to spot flaws in explanations of an AI model’s logic, but a study suggests this isn’t a safe approach.
Clinicians could be fooled by biased AI, despite explanations
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Precision health in the palm of your hand
Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.
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Wireless sensors for N95 masks could enable easier, more accurate decontamination
“The technology can give users the confidence they deserve when reusing respirators or other PPE.”
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Students lead the way on State of Michigan web application to help curb the spread of COVID-19
“I don’t think any of us expected a global pandemic at the end of our senior year, let alone being able to work on an application that helps address it.”
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Web app, dashboard from U-M to inform Michiganders’ return to work
The web tools will help state officials identify potential hotspots as they reopen Michigan to business.
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Faster than COVID: a computer model that predicts the disease’s next move
Predictive model could help care providers stay safe, anticipate patient needs.
The post Faster than COVID: a computer model that predicts the disease’s next move appeared first on Michigan Engineering News.
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Faculty Profile: Emily Mower Provost
Mower Provost talks about getting awards, doing industry research, understanding human behavior – and Star Wars.
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Computer scientists employ AI to help address COVID-19 challenges
Five multidisciplinary research teams are working on projects to assist with the coronavirus outbreak and to help find solutions to pressing problems.
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Emily Mower Provost named Toyota Faculty Scholar
Her work uses machine learning to measure mood, emotion, and other aspects of human behavior for purposes of providing early or real-time interventions for people in managing their health.
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Guidance on decontaminating face masks: U-M researchers contribute to national effort
Collaborative website launched while U-M researchers continue advanced testing.