AIMC Topic: Artificial Intelligence

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Systematic review with meta-analysis: artificial intelligence in the diagnosis of oesophageal diseases.

Alimentary pharmacology & therapeutics
BACKGROUND: Artificial intelligence (AI) has recently been applied to endoscopy and questionnaires for the evaluation of oesophageal diseases (ODs).

Modeling the Voltage Produced by Ultrasound in Seawater by Stochastic and Artificial Intelligence Methods.

Sensors (Basel, Switzerland)
Experiments have proved that an electrical signal appears in the ultrasonic cavitation field; its properties are influenced by the ultrasound frequency, the liquid type, and liquid characteristics such as density, viscosity, and surface tension. Stil...

Artificial intelligence-assisted interpretation of Ki-67 expression and repeatability in breast cancer.

Diagnostic pathology
BACKGROUND: Ki-67 standard reference card (SRC) and artificial intelligence (AI) software were used to evaluate breast cancer Ki-67LI. We established training and validation sets and studied the repeatability inter-observers.

Meaningful Lives in an Age of Artificial Intelligence: A Reply to Danaher.

Science and engineering ethics
Does the rise of artificial intelligence pose a threat to human sources of meaning? While much ink has been spilled on how AI could undercut meaningful human work, John Danaher has raised the stakes by claiming that AI could "sever" human beings from...

Developing Multiagent E-Learning System-Based Machine Learning and Feature Selection Techniques.

Computational intelligence and neuroscience
Recently, artificial intelligence (AI) domain increased to contain finance, education, health, mining, and education. Artificial intelligence controls the performance of systems that use new technologies, especially in the education environment. The ...

AI Implementation Science for Social Issues: Pitfalls and Tips.

Journal of epidemiology
The social implementation of knowledge and technologies that are effective in epidemiological and observational studies is essential for solving social issues. In particular, there have been few attempts to implement clinical practices and informatio...

MedGCN: Medication recommendation and lab test imputation via graph convolutional networks.

Journal of biomedical informatics
Laboratory testing and medication prescription are two of the most important routines in daily clinical practice. Developing an artificial intelligence system that can automatically make lab test imputations and medication recommendations can save co...

Toward the biological model of the hippocampus as the successor representation agent.

Bio Systems
The hippocampus is an essential brain region for spatial memory and learning. Recently, a theoretical model of the hippocampus based on temporal difference (TD) learning has been published. Inspired by the successor representation (SR) learning algor...

Brain tumor segmentation in MRI images using nonparametric localization and enhancement methods with U-net.

International journal of computer assisted radiology and surgery
PURPOSE: Segmentation is one of the critical steps in analyzing medical images since it provides meaningful information for the diagnosis, monitoring, and treatment of brain tumors. In recent years, several artificial intelligence-based systems have ...

Improving SDG Classification Precision Using Combinatorial Fusion.

Sensors (Basel, Switzerland)
Combinatorial fusion algorithm (CFA) is a machine learning and artificial intelligence (ML/AI) framework for combining multiple scoring systems using the rank-score characteristic (RSC) function and cognitive diversity (CD). When measuring the releva...