AIMC Topic: Snake Bites
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Smart IoT-based snake trapping device for automated snake capture and identification.
Environmental monitoring and assessment
Feb 10, 2025
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.)
Jan 16, 2025
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
Dec 13, 2024
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
May 1, 2024
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
Sep 27, 2021
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...
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