Artificial Intelligence (AI) uses systems and machines to simulate human intelligence and
solve common real-world problems. Machine learning and deep learning are Artificial …

Abstract Over the years, Machine Learning models have been successfully employed on
neuroimaging data for accurately predicting brain age. Deviations from the healthy brain …

Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a
progressive decline in cognitive abilities. Since AD starts several years before the onset of …

Microbiome data predictive analysis within a machine learning (ML) workflow presents
numerous domain-specific challenges involving preprocessing, feature selection, predictive …

Since early warning is significant to ensure high-quality tunneling boring machine (TBM)
construction, a real-time prediction method based on TBM data is proposed. To solve the …

Deep learning (DL) has been extremely successful when applied to the analysis of natural
images. By contrast, analyzing neuroimaging data presents some unique challenges …

In clinical practice, several standardized neuropsychological tests have been designed to
assess and monitor the neurocognitive status of patients with neurodegenerative diseases …

The impacts and threats posed by wildfires are dramatically increasing due to climate
change. In recent years, the wildfire community has attempted to estimate wildfire …

Recently, the global food supply chain has become increasingly complex, and its scalability
has grown. From farm to fork, the performance of food‐producing systems is influenced by …

This review aimed to specify different concepts that are essential to the development of
medical devices (MDs) with artificial intelligence (AI)(AI-based MDs) and shed light on how …