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Those beliefs are known to have caused medical providers to rate Black patients’ pain lower, misdiagnose health concerns and recommend less relief. “I believe technology can really provide shared prosperity and I believe it can help to close the gaps we have in health care delivery,” Omiye said. In 2019, for example, academic researchers revealed that a large hospital in the United States was employing an algorithm that systematically privileged white patients over Black patients. It was later revealed the same algorithm was being used to predict the health care needs of 70 million patients nationwide. In June, another study found racial bias built into commonly used computer software to test lung function was likely leading to fewer Black patients getting care for breathing problems.
Persons: Google’s Bard, Anthropic’s Claude —, , Stanford University’s Dr, Roxana Daneshjou, ” Daneshjou, “ It's, Tofunmi Omiye, , ” Omiye, Bard, Beth Israel, Adam Rodman, Rodman, Dr, John Halamka, “ ChatGPT, MedPaLM, Mayo, ” Halamka, Halamka, Stanford, Jenna Lester, ” ___ O'Brien Organizations: FRANCISCO, Stanford School of Medicine, Digital Medicine, Associated Press, Google, Beth Israel Deaconess Medical, American Medical Association, Stanford, Nationwide, Health, Mayo Clinic, Mayo Clinic Platform's, Microsoft, University of California Locations: Boston, United States, Minnesota, Mayo, San Francisco, Providence , Rhode Island
Covid-19 rebound also seems to be more common in people who take Paxlovid compared with those who don’t take the antiviral, although it can happen in either circumstance. In the past few months, instances of Covid-19 rebound have peppered headlines. That study found rebound happened about twice as frequently in people taking Paxlovid as in those who took the placebo. Among the 127 who took Paxlovid, about 14% saw their viral loads climb again after treatment. At least one study has documented a case of a person with rebound Covid-19 who took Paxlovid and passed the infection to an infant.
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