SAN FRANCISCO — As hospitals and health care systems turn to artificial intelligence to help summarize doctors’ notes and analyze health records, a new study led by Stanford School of Medicine researchers cautions that popular chatbots are perpetuating racist, debunked medical ideas, prompting concerns that the tools could worsen health disparities for Black patients.
“People will ask chatbots questions about their rashes or a new lesion, they will describe what they say is itchy or painful,” she said. “It's increasingly a concern that patients are using this." “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. “The first thing that came to mind when I saw that was ‘Oh, we are still far away from where we should be,' but I was grateful that we are finding this out very early.”
In a July research letter to the Journal of the American Medical Association, the Beth Israel researchers cautioned that the model is a “black box” and said future research “should investigate potential biases and diagnostic blind spots” of such models. “Since all physicians may not be familiar with the latest guidance and have their own biases, these models have the potential to steer physicians toward biased decision-making,” the Stanford study noted.
“ChatGPT and Bard were trained on internet content. MedPaLM was trained on medical literature. Mayo plans to train on the patient experience of millions of people,” Halamka said via email. “Why not make these tools as stellar and exemplar as possible?” asked co-lead author Dr. Jenna Lester, associate professor in clinical dermatology and director of the Skin of Color Program at the University of California, San Francisco. “We shouldn’t be willing to accept any amount of bias in these machines that we are building.
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