A new study from Mass General Brigham has found that large foundation models that incorporate a richer level of details may mitigate disparities between different demographic groups and enhance model security. Corresponding author Faisal Mahmood, PhD, of the Division of Computational Pathology in the Department of Pathology at Mass General Brigham referred to the findings as a "call to action" for scientists and regulators to utilize diverse data sets in research to benefit all patient groups. Find details in the news story below.
A Brigham and Women’s Hospital study of 30 people found that, in patients with MS, advanced brain imaging could identify hidden inflammation not picked up on traditional MRIs
A new study by investigators from Mass General Brigham demonstrates that large language models (LLMs), a type of generative AI, may help reduce physician workload and improve patient education when used to draft replies to patient messages.
A Mass General Brigham study has found that AI large language models (LLMs) used to generate medical responses for patients must have systems to monitor their quality.