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related 3.00 — strongly supporting 7 facts
Large Language Models are actively applied to the domain of medical question answering to improve accuracy and clinical utility, as evidenced by research frameworks like LLM-MedQA [1] and studies on achieving expert-level performance [2], [3]. Furthermore, these models face specific challenges in this field, such as maintaining factual currency and modeling complex medical relationships [4], which are addressed by integrating knowledge graphs [5], [6].
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Bridging the Gap Between LLMs and Evolving Medical Knowledge arxiv.org 2 facts
referenceKaran Singhal et al. (2025) published 'Toward expert-level medical question answering with large language models' in Nature Medicine, pages 1–8, focusing on medical question answering capabilities of large language models.
claimLarge Language Models face two persistent challenges in medical question answering: maintaining factual currency in a field where knowledge becomes obsolete rapidly, and correctly modeling intricate relationships among medical entities.
Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org 2 facts
referenceGuo, Cao, and Yi (2022) created a medical question answering system that utilizes both large language models and knowledge graphs.
claimIn the medical domain, integrating knowledge graphs with large language models improves medical question answering by providing more accurate and contextually relevant answers to complex queries, as demonstrated by systems like MEG and LLM-KGMQA.
A Comprehensive Benchmark and Evaluation Framework for Multi ... arxiv.org 2 facts
referenceLLM-MedQA is a framework for enhancing medical question answering in Large Language Models through the use of case studies, as described by Yang et al. in January 2025.
referenceSinghal et al. (2023) explored methods for achieving expert-level medical question answering using Large Language Models in their paper 'Towards Expert-Level Medical Question Answering with Large Language Models'.
Medical Hallucination in Foundation Models and Their ... medrxiv.org 1 fact
claimLarge Language Models (LLMs) used in Medical Question Answering and Clinical Documentation Automation require accurate descriptions of medical imaging or laboratory results.