… This study aimed to develop an efficient deep-learning artificial intelligence algorithm to
identify top clinical variable predictors and derive a risk stratification score system to help …

… review through bibliometric analysis) the concept of artificial intelligence in this article. A …
(31st of May) with selected keywords (artificial intelligence, genetic algorithms, agent-based …

… The areas employing the technology of Artificial Intelligence … the current use of Artificial
Intelligence technologies in the PSS … The result of this analysis is a structured set of relationships …

… from a change of focus in artificial intelligence. Learning, after several decades at the periphery
of artificial intelligence, was again regarded as pivotal in the study of intelligence. A more …

… Computational intelligence helps AI algorithms and models find their … analysis. In the next
sections, we discuss the recent progress of computational intelligence in RS image analysis in …

… Risk-analysis procedures have been available for many years. Risk-analysis procedures
have … One problem with present-day risk-analysis procedures is that those procedures that are …

… of analysis. In … of artificial intelligence analysis and decision making related to the massive
simulation results of large-scale power grids, and proposes an artificial intelligence analysis …

… Analytical and non-analytical AI Machine learning is at the core of many approaches to
artificial intelligence, and is analytical (ie, statistical) at its core. It has been employed for several …

… We examine immunoprofiling through spatial analysis of … to machine learning (ML) and
artificial intelligence tools and … learning approaches for survival analysis. Synergies of surgical …

… artificial-intelligence (AI)-based classification techniques with traditional multiple discriminant
analysis (… Statistical analysis reveals that SVM enables more accurate classification than …