February 17, 2025-- The use of stigmatizing terminology in National Institute on Drug Abuse (NIDA)-funded grant abstracts has decreased by over half since 2013 according to a new paper by researchers ...
As artificial intelligence is rapidly developing and becoming a growing presence in health care communication, a new study addresses a concern that large language models (LLMs) can reinforce harmful ...
Drug addiction has been one of America’s growing public health concerns for decades. Despite the development of effective treatments and support resources, few people who are suffering from a ...
Please provide your email address to receive an email when new articles are posted on . Of 2,700 patients with opioid use disorder, stigmatizing language was found in 84.4% of patient records. The ...
As artificial intelligence is rapidly developing and becoming a growing presence in healthcare communication, a new study addresses a concern that large language models (LLMs) can reinforce harmful ...
About 85% of patients with opioid use disorder (OUD) are described in clinical notes as being abusers, addicts, junkies, or with other stigmatizing terms, preliminary results of a new study suggest.
NEW YORK CITY -- Clinical notes for patients with substance use disorder (SUD) contained stigmatizing language -- such as "junkie," "dirty user," and "this drunk" -- on a regular basis, according to a ...
As artificial intelligence is rapidly developing and becoming a growing presence in healthcare communication, a new study addresses a concern that large language models (LLMs) can reinforce harmful ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback