Clinical trials

The goal of this prospective, multicenter observational study is to evaluate how well Zhunxin Agent, an artificial intelligence system for chest pain assessment, performs in real-world emergency department settings. The study will include people who receive routine care for acute chest pain at participating hospitals. The main questions this study aims to answer are: 1. How accurately can Zhunxin Agent identify serious causes of acute chest pain during routine emergency care? 2. How well can Zhunxin Agent distinguish people at different levels of clinical risk? Zhunxin Agent will run in silent mode using clinical information collected during routine care. Its predictions will not be shown to treating clinicians and will not affect clinical decisions, diagnostic tests, or treatment. Researchers will compare the predictions made by Zhunxin Agent with the final clinical diagnoses established through routine medical care. Participants will: 1. Receive usual emergency care according to local clinical practice 2. Have routinely collected clinical data analyzed by Zhunxin Agent in the background 3. Receive no additional treatment or clinical intervention based on the Agent's predictions