[Abstract]As the volume of medical research using large language models (LLMs) surges, the need for standardized and transparent reporting standards becomes increasingly critical. In January 2025, Nature Medicine published “TRIPOD-LLM reporting guideline for studies using large language models”. This represents the first comprehensive reporting framework specifically tailored for studies that develop prediction models based on LLMs. It comprises a checklist with 19 main items (encompassing 50 sub-items), a flowchart, and an abstract checklist (containing 12 items). This article provides an interpretation of TRIPOD-LLM’s development methods, primary content, scope, and the specific details of its items. The goal is to help researchers, clinicians, editors, and healthcare decision-makers to deeply understand and correctly apply TRIPOD-LLM, thereby improving the quality and transparency of LLM medical research reporting and promoting the standardized and ethical integration of LLMs into healthcare.