Bias patterns in the application of LLMs for clinical decision support: A comprehensive study

arXiv:2404.15149v1 Announce Type: cross
Abstract: Large Language Models (LLMs) have emerged as powerful candidates to inform clinical decision-making processes. While these models play an increasingly prominent role in shaping the digital landscape, two growing concerns emerge in healthcare applications: 1) to what extent do LLMs exhibit social bias based on patients' protected attributes (like race), and 2) how do design choices (like architecture design and prompting strategies) influence the observed biases? To answer these questions rigorously, we evaluated eight popular …

abstract application applications arxiv bias clinical concerns cs.cl cs.lg decision decision support digital healthcare landscape language language models large language large language models llms making patterns processes role study support type