Multicenter Application Verification and Effect Evaluation of Artificial Intelligence-Based Snake Species Identification System in the Diagnosis and Treatment of Snakebites

This multicenter prospective observational study aims to develop and validate a deep learning-based artificial intelligence snake species identification system, and evaluate its clinical application efficacy in real-world emergency snakebite treatment scenarios. The primary research question it seeks to answer is: In real clinical settings in Zhejiang Province, can the artificial intelligence snake species identification system accurately identify common indigenous snake species causing bites, and improve the accuracy and diagnostic efficiency of snake species judgment for physicians at different levels of medical institutions? This study will be conducted simultaneously in 10 medical institutions in Zhejiang Province. investigators will prospectively enroll patients with snakebite who present to the hospital between June 2026 and December 2026 and can provide photographs of the offending snakes. The snake species identification results of both attending physicians and the artificial intelligence system will be recorded synchronously, and the patients' clinical treatment and prognosis data will be collected. All patients will be followed up until 30 days after discharge.

NCT Number	NCT07658885
Lead Sponsor	Second Affiliated Hospital, School of Medicine, Zhejiang University Collaborators: The Central Hospital of Lishui City
Conditions	Snake Bite
Enrollment	400 participants
Start Date	2026-06-20
Primary Completion	2026-06-20 (estimated)
Study Completion	2026-12-31 (estimated)
Updated on ClinicalTrials.gov	2026-06-22