Research · MIT Technology Review
Some research on AI deploy in education suggests that such systems can impact the way people cognitively process information
Compiled by KHAO Editorial — aggregated from 1 outlet. See llms.txt for citation guidance.
◌ Single Source
Will the tools affect the way medical students think about patient data in a way that impacts care?
Key facts
- In a study published in January 2025, Paige Nong at the University of Minnesota and her colleagues found that around 65% of US hospitals used AI-assisted predictive tools
- That’s what Jenna Wiens, a computer scientist at the University of Michigan, and Anna Goldenberg of the University of Toronto, argue in a paper published in the journal Nature Medicine this week
- I have to believe that in the future it’s not all AI or no AI,” she says
- AI-based tools are trawling through patient records, flagging people who may require certain support or treatments
Summary
Or that it is being used, increasingly, in hospitals. A growing number of studies suggest that many of these tools can deliver accurate results. That’s what Jenna Wiens, a computer scientist at the University of Michigan, and Anna Goldenberg of the University of Toronto, argue in a paper published in the journal Nature Medicine this week. Wiens tells me she has spent years investigating how AI might benefit health care. The problem is that many providers aren’t rigorously assessing how well they work.