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Artificial Intelligence (AI) technology in the medical field has the possibility to increase inequities, particularly among people with low-access to healthcare and those who are from the vulnerable communities.
Analyzing crowd-sourced sets of data used to create AI algorithms from medical images, University of Maryland School of Medicine researchers found that most did not include patient demographics and none evaluated for inherent biases either. That means they have no way of knowing whether these images contain representative samples of the population such as Blacks, Asians, and Indigenous Americans.
The University of Maryland, Baltimore (UMB) is the state’s public health, law, and human services university devoted to excellence in professional and graduate education, research, patient care, and public service.
Researchers from the University of Maryland created a list of 25 questions related to breast cancer screening guidelines — then submitted them to ChatGPT to gauge their accuracy. Here's what happened.
AI tools like ChatGPT could transform healthcare by helping more people access care but there are considerable caveats.