What question did this study set out to answer?

The study aims to assess the current methods and applications of artificial intelligence in bridge structural health monitoring.

Artificial Intelligence in Bridge Structural Health Monitoring: A Comprehensive Systematic Analysis of Methods, Models, and Applications

View Full Paper

Ask AI

Bookmark

Authors

Systematic review highlights AI's potential in bridge monitoring, suggesting improvements for practical use.

The study aims to assess the current methods and applications of artificial intelligence in bridge structural health monitoring.
Utilized the PRISMA framework for systematic review
Analyzed 99 selected studies on AI in bridge monitoring
Identified trends in the application of deep learning techniques
Deep learning emerged as the dominant analytical approach for structural health monitoring tasks.
AI-based methods showed significant improvements over traditional monitoring techniques.
Challenges such as data scarcity and class imbalance remain barriers to implementation.

Ataei et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark