A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
James B. Grace, Donald R. Schoolmaster, Glenn R. Guntenspergen, et al.
This paper presents guidelines for a third-generation structural equation modeling framework based on graph theory, causal graphs, and probabilistic reasoning.
Yadi Zhou, Fei Wang, Jian Tang, et al.
This review provides guidelines on using AI and network medicine for drug repurposing, exemplified by COVID-19, emphasizing reduced timelines and costs.
Abdel Aziz Taha, Allan Hanbury
This paper presents an efficient evaluation tool for 3D medical image segmentation using 20 metrics, including fuzzy definitions, and provides guidelines for metric selection.
Kukjin Choi, Jihun Yi, Changhwa Park, et al.
This paper reviews deep learning methods for anomaly detection in multivariate time-series data, analyzes state-of-the-art models on benchmarks, and provides guidelines for model selection and training.
Simone Kresevic, Mauro Giuffrè, Miloš Ajčević, et al.
A RAG-based GPT-4 Turbo framework with structured guideline reformatting and prompt engineering improves clinical decision support accuracy from 43% to 99% for chronic Hepatitis C management.