As artificial intelligence (AI) becomes increasingly integrated into mainstream healthcare applications, there has been a surge in the number of AI-centered diagnostic test accuracy studies. In September 2025, the international journal Nature Medicine published the Reporting Guideline for Diagnostic Accuracy Studies Using AI (STARD-AI). The guideline represents a comprehensive reporting framework specifically updated for AI-based studies within the Standards for Reporting Diagnostic Accuracy Studies (STARD). It consists of a main checklist (40 major items with 48 sub-items) and an abstract checklist (11 items). This article provides an interpretation of STARD-AI's development process, main content, scope of application, and specific item details, aiming to assist researchers, clinicians, and editors in thoroughly understanding and correctly applying STARD-AI. The goal is to enhance the quality and transparency of reporting in AI-centered diagnostic accuracy studies and to promote their standardized and ethical integration into the medical field.
