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

NCT07658885 | Enrolling By Invitation

• 1 other identifier: 2026-0559
• Study Type: observational
• Target: 400
• Locations: 1 country
• Sites: 1

Brief Summary

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.

Conditions

Snake Bite

Keywords

Snake Bite; Artificial Intelligence; Snake Species Identification; Deep Learning; Clinical Validation

Outcome Measures

Primary Outcomes (1)

• Snake species identification (64-class classification) and venomous/non-venomous snake discrimination (binary classification)

  From enrollment to the end of treatment at 30 days

Secondary Outcomes (2)

• Consistency between physicians' judgments and AI results(%)

  From enrollment to the end of treatment at 30 days

• median time from hospital presentation to definitive snake species identification(hour)

  72 hours

Interventions

SSRS system-assisted snake species identification DIAGNOSTIC_TEST

Without interfering with clinical treatment, simultaneously record the physician's assessment and the identification results from the SSRS system.

Eligibility Criteria

• Age: 18 Years - 80 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

All snakebite patients included in this study were recruited from medical institutions in snakebite-endemic areas, primarily county-level and prefecture-level hospitals.

You may qualify if:

• Adult patients aged ≥18 years, regardless of gender
• Definite history of snake bite, with time from bite occurrence to first medical visit ≤24 hours
• The patient or eyewitness can provide digital images of the biting snake (taken by mobile phone, camera, etc.)
• Voluntarily sign the written informed consent form; for patients with impaired consciousness who cannot sign independently, their legal representative shall sign on their behalf, and a secondary confirmation shall be obtained after the patient regains consciousness
• Able to cooperate in completing follow-up assessments at discharge and 30 days after injury

You may not qualify if:

• \. Unable to provide snake images, or images are severely blurred resulting in complete loss of key identification features 2. Snake species cannot be confirmed by the gold standard (no eyewitnesses, no typical clinical manifestations, cannot be clarified by expert panel consultation) 3. Medical visit exceeds 24 hours and the exact bite time and initial clinical manifestations cannot be determined 4. Complicated with end-stage malignant tumors, severe liver and kidney failure, or other underlying diseases that may significantly affect prognosis judgment 5. Refuse to sign the informed consent form or cannot cooperate in completing follow-up 6. Simultaneously participating in other clinical studies that may affect the results of this study

Sponsors & Collaborators

• Second Affiliated Hospital, School of Medicine, Zhejiang University: lead
• The Central Hospital of Lishui City: collaborator

Study Sites (1)

Second Affiliated Hospital, Zhejiang University School of Medicine

Hangzhou, Zhejiang, 310000, China

Location

Related Publications (8)

• Binta Islam S, Valles D, Hibbitts TJ, Ryberg WA, Walkup DK, Forstner MRJ. Animal Species Recognition with Deep Convolutional Neural Networks from Ecological Camera Trap Images. Animals (Basel). 2023 May 2;13(9):1526. doi: 10.3390/ani13091526.

  PMID: 37174563 RESULT

• Zhang J, Chen X, Song A, Li X. Artificial intelligence-based snakebite identification using snake images, snakebite wound images, and other modalities of information: A systematic review. Int J Med Inform. 2023 May;173:105024. doi: 10.1016/j.ijmedinf.2023.105024. Epub 2023 Feb 24.

  PMID: 36848781 RESULT

• Aga AM, Mulugeta D, Motuma A, Wakitole B, Muleta D, Ferede H, Teferi Z, Tadesse S, Abebe T, Alemayehu F, Dube D, Oljira S, Alemu A, Gebrewold G, Woldemariyam FT, Nigussie D. Health professionals' knowledge, attitudes, and practices in snakebite management: A study from high-burden areas in the Afar Region, Ethiopia. PLoS Negl Trop Dis. 2025 Nov 20;19(11):e0013713. doi: 10.1371/journal.pntd.0013713. eCollection 2025 Nov.

  PMID: 41264600 RESULT

• Abraham SV, Paul S, Mathew D, Rajeev PC, Paul MV, Davis C. Challenges in Snakebite Management in India: Insights from a Physician Survey with Special Focus on Kerala and treatment of bites by Hump-nosed Pit Vipers (Hypnale spp.). Wilderness Environ Med. 2025 Mar;36(1):76-88. doi: 10.1177/10806032241290800. Epub 2024 Nov 18.

  PMID: 39552571 RESULT

• Rao S, Reghu N, Nair BG, Vanuopadath M. The Role of Snake Venom Proteins in Inducing Inflammation Post-Envenomation: An Overview on Mechanistic Insights and Treatment Strategies. Toxins (Basel). 2024 Dec 2;16(12):519. doi: 10.3390/toxins16120519.

  PMID: 39728777 RESULT

• Shen Y, Hu S, Bao S, Tu M. Clinical characteristics of snakebite patients attending a tertiary hospital in Hangzhou, southeast China. Trans R Soc Trop Med Hyg. 2024 Apr 6;118(4):287-292. doi: 10.1093/trstmh/trad087.

  PMID: 38073610 RESULT

• Yan S, Fu W, Yan Z, Hu Y, Song X, Wang J, Hao W, He L, Chen Y, Diane M, Souare IS, Guo W, Bin W, Ma Y, Han X, Lv C. Clinical epidemiology of snakebite envenoming in hospitals 11 provinces of Yangtze River Basin and southern regions of China: A retrospective hospital-based analysis. PLoS Negl Trop Dis. 2026 Apr 27;20(4):e0013247. doi: 10.1371/journal.pntd.0013247. eCollection 2026 Apr.

  PMID: 42044109 RESULT

• Nyarko E, Atubiga IA, Siame ET, Gutierrez JM, Fernandez EA. Healthcare workers' priorities of WHO snakebite strategic objectives for the control and prevention of snakebite envenoming in Ghana: A machine learning statistical design of experiment modeling. PLoS Negl Trop Dis. 2025 Jul 10;19(7):e0013295. doi: 10.1371/journal.pntd.0013295. eCollection 2025 Jul.

  PMID: 40638704 RESULT

MeSH Terms

Conditions

Snake Bites

Condition Hierarchy (Ancestors)

Bites and Stings; Poisoning; Chemically-Induced Disorders; Wounds and Injuries

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: PROSPECTIVE
• Target Duration: 30 Days
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: June 5, 2026
• First Posted: June 22, 2026
• Study Start: June 20, 2026
• Primary Completion: June 20, 2026
• Study Completion (Estimated): December 31, 2026
• Last Updated: June 22, 2026

Record last verified: 2026-06

Data Sharing

• IPD Sharing: Will share

Locations

CN (1)