Strategy for AI in Health Care

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AI cost

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Study identifies strategy for AI cost-efficiency in health care settings

Summary

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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.

Findings 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.

Eyal Klang , Donald Apakama , Ethan E. Abbott , Akhil Vaid , Joshua Lampert , Ankit Sakhuja, Robert Freeman , Alexander W. Charney , David Reich , Monica Kraft , Girish N. Nadkarni , Benjamin S. Glicksberg .