As part of our series, artificial intelligence is examined through the medical lens. It may lift personalized treatment, fill gaps in access to care, and cut red tape, but risks abound.
Nov. 11, 2020 • ~32 min
medicine artificial-intelligence harvard-medical-school health-medicine alvin-powell ai-series
Radcliffe researcher explores how to create a framework for the Internet of Things that minimizes risk and maximizes safety.
Feb. 25, 2020 • ~8 min
science-technology artificial-intelligence radcliffe-institute-for-advanced-study engineering-technology rensselaer-polytechnic-institute fran-berman
A new technique speeds creation of nanowire devices, boosting research into what’s happening inside cells.
July 2, 2019 • ~7 min
science-technology chemistry brain artificial-intelligence nanotechnology charles-m-lieber medical-technology anqi-zhang nature-nanotechnology
Researchers propose a new field of study — “machine behavior” — to look at artificial intelligence through the lens of biology, economics, psychology, and other behavioral and social sciences.
June 7, 2019 • ~8 min
science-technology artificial-intelligence harvard nature mit harvard-john-a-paulson-school-of-engineering-and-applied-sciences seas david-parkes google behavioral-science facebook herbert-simon microsoft san-diego social-sciences stanford university-of-california
New computer program uses artificial intelligence to determine what visual neurons like to see. The approach could shed light on learning disabilities, autism spectrum disorders, and other neurologic conditions.
May 2, 2019 • ~5 min
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Scientists from Harvard and Princeton have teamed up to create an artificial intelligence algorithm that can predict destructive disruptions in nuclear fusion experiments
April 22, 2019 • ~8 min
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Researchers at Harvard Medical School’s Blavatnik Institute are developing an algorithm with information that is so complex, it will understand everything a first-year medical student knows.
April 5, 2019 • ~5 min
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AI is coming to a hospital near you — but it may be in the world’s remote regions that it could impact patients most. However, experts gathered at Harvard said its potential will not be realized unless it is deployed as part of broader health care solutions, not simply as a tool in search of problems.
Feb. 28, 2019 • ~11 min
artificial-intelligence global-health harvard-medical-school health-medicine brigham-and-womens-hospital alvin-powell beth-israel-deaconess-medical-center harvard-global-health-institute google ashish-jha diabetic-retinopathy digital-medicine
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