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

Enrolling by invitation

Conditions studied: Snake Bite

In brief

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.

Key facts

Study ID
NCT07658885
Run by
Second Affiliated Hospital, Zhejiang University, School of Medicine
People needed
400
Starts
2026-06-20
Expected to finish
2026-12-31
Last updated by the study team
2026-06-22

Who can join

Age: 18 and older, up to 80. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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