ExtremeTech The Human Side of Artificial Intelligence

ExtremeTech The Human Side of Artificial Intelligence

ExtremeTech The Human Side of Artificial Intelligence Skip to main content Close Select your preferred language English عربى 简体中文 繁體中文 فارسي עִברִית 日本語 한국어 Русский Español Tagalog Menu Close Call 1-800-CEDARS-1 toggle search form Close Los Angeles, 06 May 2022 09:00 AM America/Los_Angeles ExtremeTech The Human Side of Artificial Intelligence In a recent opinion piece, Jason H. Moore, PhD, chair of the Cedars-Sinai Department of Computational Biomedicine, explored what AI can learn from humans. Photo by Getty Images. The online publication ExtremeTech recently published an opinion column by Jason H. Moore, PhD, chair of the Cedars-Sinai Department of Computational Biomedicine, about the vital role humans play in the development of artificial intelligence (AI) tools. As scientists explore potential ways that artificial intelligence can improve healthcare, Moore flipped the script by asking not what humans can learn from AI, but what AI can learn from humans. He cited a recent study from Google and several academic health partners in which AI was used to predict patient readmissions to the hospital after surgery. The study found that the technology was no more accurate than statistical methods already used by researchers. “What was missing from the Google study was an acknowledgement of the value humans bring to AI,” Moore wrote. “Google’s model would have performed more effectively if it had taken advantage of expert knowledge only human clinicians could provide.” Moore also pointed out other potential pitfalls when it comes to applying AI to medicine. For example, feeding biased data into AI tools can lead to unintended consequences for people from underrepresented or disadvantaged groups. Moore, an acting professor in Cedars-Sinai’s Department of Computational Biomedicine, dove deeper into the topic in a recent Cedars-Sinai Newsroom video, explaining that Black patients in the U.S. are often treated differently from white patients when they seek care at an emergency room. “And that is a bias,” Moore said in the video. “That is unfortunate, and it hurts Black patients. And so we need to understand where healthcare is biased. And we need to fix those problems at the root. Because what happens is, when patients of different ethnic or racial backgrounds or genders get treated differently, that creates biased data in the electronic health record that the AI algorithms can exploit in unfair ways.” Click here to read Moore’s complete opinion column from ExtremeTech. Related Stories RSS feed - Related Stories (opens in new window) View all headlines - Related Stories HealthDay Black Women Less Likely to Get Laparoscopic Fibroid Surgeries October 07, 2022 09:00 AM America/Los_Angeles HealthDay recently interviewed Rebecca J. Schneyer, MD, a resident in the Obstetrics and Gynecology Residency Program at Cedars-Sinai, about a study she led that found Black and Hispanic women were less likely than white women to receive minimally … Read more KCRW Want New Omicron Booster Wait at Least 2 Months After Last Shot October 06, 2022 09:00 AM America/Los_Angeles KCRW program Press Play recently featured Rita Shane, PharmD, vice president and chief pharmacy officer at Cedars-Sinai, discussing who qualifies for the updated COVID-19 booster and how long patients must wait before getting the shot.The Centers … Read more ABC 7 Spider-Man Swings by 4-Year-Old Leukemia Patient s Birthday Party at Cedars-Sinai September 30, 2022 09:00 AM America/Los_Angeles ABC 7 recently profiled Cedars-Sinai patient Jabari Henley, who celebrated his fourth birthday with a special superhero at Guerin Children's newly opened inpatient facility.The Lifedriven Foundation helped throw Henley a surprise party in the Guerin … Read more Show previous items Show next items Contact the Media Team Email: [email protected] Share this release ExtremeTech The Human Side of Artificial Intelligence Share on: Twitter Share on: Facebook Share on: LinkedIn Search Our Newsroom Social media Visit our Facebook page (opens in new window) Follow us on Twitter (opens in new window) Visit our Youtube profile (opens in new window) (opens in new window) Latest news 07 Oct 2022 - HealthDay Black Women Less Likely to Get Laparoscopic Fibroid Surgeries 07 Oct 2022 - Faculty Publications: Sept. 29-Oct. 6 07 Oct 2022 - Fine-Tuning Organ-Chip Technology 06 Oct 2022 - KCRW Want New Omicron Booster Wait at Least 2 Months After Last Shot 05 Oct 2022 - Cedars-Sinai Schedules Free Flu Vaccine Clinics 04 Oct 2022 - Cedars-Sinai Showcases Hispanic and Latinx Art Newsroom Home
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