New study finds no bias in opioid treatment suggestions by AI models

A new study from Mass General Brigham researchers provides evidence that large language models (LLMs), used for generative artificial intelligence (AI), ChatGPT-4 and Google's Gemini, demonstrated no differences in suggested opioid treatment regimens for different races or sexes. Results are published in PAIN . I see AI algorithms in the short term as augmenting tools that can essentially serve as a second set of eyes, running in parallel with medical professionals.

Needless to say, at the end of the day the final decision will always lie with your doctor." Marc Succi, MD, corresponding author, strategic innovation leader at Mass General Brigham Innovation, associate chair of innovation and commercialization for enterprise radiology and executive director of the Medically Engineered Solutions in Healthcare (MESH) Incubator at Mass General Brigham The results in this study showcase how LLMs could reduce potential provider bias and standardize treatment recommendations when it comes to prescribing opioids to manage pain. The emergence of artificial intelligence tools in health care has been groundbreaking and has the potential to positively reshape the continuum of care.

Mass General Brigham, as one of the nation's top integrated academic health systems and largest innovation enterprises, is leading the way in conducting rigorous research on new and emerging technologies to inform the responsible incorporation of AI into care delivery, workforce support, and administrative proc.