# A Practical Guide for Medical Large Language Models

A continuously updated bibliography of papers and practical resources on medical large language models, built from a peer-reviewed survey covering how such models are built, evaluated, deployed clinically and challenged by real-world use.

A Practical Guide for Medical Large Language Models is a curated, actively updated list of resources on medical LLMs, maintained alongside a peer-reviewed survey published in Nature Reviews Bioengineering. It organizes papers, tables and a resource tree around the questions the underlying survey addresses: how medical LLMs should be built, how their downstream clinical performance should be measured, how they should be used in real-world clinical practice, what challenges arise from that use, and how future medical LLMs should be constructed and applied.

Its stated goals for the field include surpassing human-level expertise in medical tasks and understanding emergent properties as model size scales up, and it accepts community contributions of new papers or models through email or pull request in a fixed markdown citation format.

It is released under the MIT license.

Website: https://arxiv.org/abs/2311.05112