Radiomics is a process that allows the extraction and analysis of quantitative data from
medical images. It is an evolving field of research with many potential applications in …

Radiomics is the quantitative analysis of standard‐of‑care medical imaging; the information
obtained can be applied within clinical decision support systems to create diagnostic …

Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …

Individuals with mild cognitive impairment (MCI) of different subtypes show distinct
alterations in network patterns. The first aim of this study is to identify the subtypes of MCI by …

The intricate spatial configurations of brain networks offer essential insights into
understanding the specific patterns of brain abnormalities and the underlying biological …

This study aimed to analyse cerebral grey matter changes in mild cognitive impairment
(MCI) using voxel-based morphometry and to diagnose early Alzheimer's disease using …

In multi-site studies of Alzheimer's disease (AD), the difference of data in multi-site datasets
leads to the degraded performance of models in the target sites. The traditional domain …

Identifying reproducible and interpretable biomarkers for Alzheimer's disease (AD) detection
remains a challenge. AD detection using multi-center datasets can expand the sample size …

Parkinson's disease (PD) is one of the most common progressive degenerative diseases,
and its diagnosis is challenging on clinical grounds. Clinically, effective and quantifiable …

The use of radiomics and artificial intelligence applied for the diagnosis and monitoring of
Alzheimer's disease has developed in recent years. However, this approach is not yet …