Review: Using AI for Structural and Morphological Analysis of the Features of Deposits

This article provides a review of the application of artificial intelligence (AI) methods in geological research over the past 20 years (2004-2024). Using the Scopus database and following the PRISMA methodology, a systematic assessment of publications was conducted based on the keywords “geology” and “artificial intelligence.” A total of 900 relevant documents were identified. The analysis of publications revealed that the leading countries in this field are China, the United States, and India. The reviewed studies highlight various AI techniques, including neural networks, genetic algorithms, and machine learning models, applied to different geological challenges such as mineral exploration, landslide prediction, and seismic analysis. The findings demonstrate significant improvements in prediction accuracy and automation in geological research. The article emphasizes the potential of AI to transform geoscience by enhancing data processing, decision-making, and environmental management.