AIMC Topic: Snake Bites

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Unveiling the burden of snakebite injuries: an EQ-5D-5 L-based evaluation of health-related quality of life.

BMC public health
BACKGROUND: Snakebite envenoming remains poorly understood in terms of long-term health-related quality of life (HRQoL), particularly in China where standardized assessments are lacking. This study is the first to comprehensively evaluate HRQoL impai...

Digital Health Intervention in Snakebite Management: Scoping Review.

Journal of medical Internet research
BACKGROUND: Snakebite envenoming is a neglected tropical disease that causes significant morbidity and mortality, with an estimated 81,410-137,880 deaths annually, primarily in rural, low-resource settings. Digital health interventions, particularly ...

Causal inference unveils how forest coverage mitigates excess snakebite cases during rainfall seasons in Colombia.

Scientific reports
Snakebite envenoming is a neglected tropical disease that affects mainly rural populations, where antivenom is scarce. Understanding environmental drivers of snakebite incidence is critical for public health preparedness. This study employs causal in...

Smart IoT-based snake trapping device for automated snake capture and identification.

Environmental monitoring and assessment
The threat of snakebites to public health, particularly in tropical and subtropical regions, requires effective mitigation strategies to avoid human-snake interactions. With the development of an IoT-based smart snake-trapping device, an innovative n...

AI-designed miniproteins neutralize snake toxins.

Science (New York, N.Y.)
Scientists are turning to AI to make antivenoms cheaper, faster, and more effective.

A supervised machine learning statistical design of experiment approach to modeling the barriers to effective snakebite treatment in Ghana.

PLoS neglected tropical diseases
BACKGROUND: Snakebite envenoming is a serious condition that affects 2.5 million people and causes 81,000-138,000 deaths every year, particularly in tropical and subtropical regions. The World Health Organization has set a goal to halve the deaths an...

An efficient densenet-based deep learning model for Big-4 snake species classification.

Toxicon : official journal of the International Society on Toxinology
Snakebite poses a significant health threat in numerous tropical and subtropical nations, with around 5.4 million cases reported annually, which results in 1.8-2.7 million instances of envenomation, underscoring its critical impact on public health. ...

A comparative study on image-based snake identification using machine learning.

Scientific reports
Automated snake image identification is important from different points of view, most importantly, snake bite management. Auto-identification of snake images might help the avoidance of venomous snakes and also providing better treatment for patients...

Developing an Artificial Intelligence Chatbot for Snake Image Classification and Accuracy Improvement.

The American journal of tropical medicine and hygiene
Snakebites pose a significant global health challenge. The timely and accurate identification of snake species is essential for guiding antivenom administration. Our goal was to evaluate the effectiveness of a machine learning model for classifying s...