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Sherrie Flynt Wallington on Muck Rack

Sherrie Flynt Wallington

As seen in: The Hill, NewsBreak
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Articles

Racial/ethnic reporting differences in cancer literature regarding machine learning vs . a radiologist: a systematic review and meta- analysis

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By Rahil Patel, Destie Provenzano, Sherrie Flynt Wallington, Murray Loew
| jmai.amegroups.org
Have a website account?Log In orRegister for exclusive website content. Home / Vol 6 (November 10, 2023) / Racial/ethnic reporting differences in cancer literature regarding machine learning vs . a radiologist: a systematic... PDF 0 views Full Text 1 views Reporting Checklist Peer Review File COI Form
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Racial/ethnic reporting differences in cancer literature regarding machine learning vs . a radiologist: a systematic review and meta- analysis

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By Rahil Patel, Destie Provenzano, Sherrie Flynt Wallington, Murray Loew
Highlight box Key findings • This study found a lack of inclusion of racial/ethnic and other important demographic information in cancer literature comparing artificial intelligence (AI) to radiologists. What is known and what is new? • Machine learning (ML) holds promise in aiding diagnosis of patient conditions. However, studies are increasingly highlighting racial/ethnic biases in ML models despite evidence showing variation in condition status amongst different population groups.
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How to empower fathers in the fight for mothers’ lives

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By Y. Tony Yang, Sherrie Flynt Wallington, Terrance Staley
| NewsBreak
How is it possible that in the richest nation on earth, childbirth remains all too often a death sentence? New data from the Centers for Disease Control and Prevention’s National Center for Health Statistics reveals that the United States is now the most dangerous place among high-income countries to give birth, with maternal deaths reaching the highest rate in nearly 60 years.
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