AI-Powered Deep Learning Framework for Road Accident Injury Severity Prediction and Intelligent Hospital Recommendation Using Convolutional Neural Networks
Keywords:
Injury Detection, Severity Classification, Medical Image Analysis, Emergency ResponseAbstract
The objective of this work is to develop a deep learning-based system that accurately predicts the severity of road accident injuries and recommends the most suitable hospital for treatment based on the identified injury. This research indicates that this work focuses on utilizing advanced AI methods to assess accident outcomes and provide timely medical assistance. Historically, injury assessment and
hospital recommendations relied on manual evaluation by first responders or emergency personnel, which could delay critical care. Traditional systems lacked the precision and speed needed to accurately determine injury severity, often leading to suboptimal treatment decisions.
References
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