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Clickbait headlines might not lure readers as much, may confuse AI

Clickbait headlines might not lure readers as much, may confuse AI
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Solving Plastic Pollution and Climate Change Simultaneously

Artificial Intelligence Could Transform Healthcare, But Getting Patients to Accept it May be Tricky

By Shelly Leachman for UCSB May 24, 2021 | 9:00 a.m. Much like a family physician who has treated you for years, computer systems could hypothetically know a patient’s complete medical history. A more common experience, of course, is seeing a new doctor or a specialist who knows only your latest lab tests. But as the use of artificial intelligence (AI) in health applications grows, health providers are looking for ways to improve patients’ experience with machine doctors. And under some circumstances, machines may have advantages as medical providers, according to UC Santa Barbara’s Joseph B. Walther, distinguished professor in communication and the Mark and Susan Bertelsen Presidential Chair in Technology and Society.

Artificial intelligence could transform healthcare, but getting patients accept it may prove tricky

By Shelly Leachman Santa Barbara, CA Much like a family physician who has treated you for years, computer systems could – hypothetically – know a patient’s complete medical history. A more common experience, of course, is seeing a new doctor or a specialist who knows only your latest lab tests. But as the use of artificial intelligence (AI) in health applications grows, health providers are looking for ways to improve patients’ experience with machine doctors. And under some circumstances, machines may have advantages as medical providers, according to UC Santa Barbara’s Joseph B. Walther, distinguished professor in communication and the Mark and Susan Bertelsen Presidential Chair in Technology and Society.

Two from Department of Statistics named Institute of Mathematical Statistics Fellows

18 May 2021 Two faculty members from the Penn State Department of Statistics have been named Fellows of the Institute of Mathematical Statistics. Nicole Lazar, professor of statistics, and Aleksandra (Seša) Slavković, professor of statistics and associate dean for graduate education for the Eberly College of Science, have been recognized for their distinction in research and leadership in the field. Created in 1935, the Institute of Mathematical Statistics (IMS) is a member organization that fosters the development and dissemination of the theory and applications of statistics and probability. The IMS has 3,500 active members throughout the world, and approximately 15% of its current membership has earned the status of fellowship. In 2021, 41 members were selected for IMA Fellowship by a committee of their peers.

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