Research has been conducted on the performance of large language models in medical contexts, including diagnosis, triage, and simplifying medical consent. Some studies have evaluated the collaborative performance of these models with healthcare professionals, while others have compared their performance to specialized clinical AI tools. The outcomes of these studies are varied, with some suggesting that large language models can outperform specialized tools, while the broader implications of their use are also being explored.