News-Medical.Net November 18, 2024
A study by researchers at the Icahn School of Medicine at Mount Sinai has identified strategies for using large language models (LLMs), a type of artificial intelligence (AI), in health systems while maintaining cost efficiency and performance.
The findings, published in the November 18 online issue of npj Digital Medicine [DOI: 10.1038/s41746-024-01315-1], provide insights into how health systems can leverage advanced AI tools to automate tasks efficiently, saving time and reducing operational costs while ensuring these models remain reliable even under high task loads.
“Our findings provide a road map for health care systems to integrate advanced AI tools to automate tasks efficiently, potentially cutting costs for application programming interface (API) calls for LLMs up to 17-fold and ensuring stable...
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