Background An increase in lifespan in our society is a double-edged sword that entails a
growing number of patients with neurocognitive disorders, Alzheimer's disease being the …

Many factors such as trauma and COVID-19 cause acute kidney injury (AKI). Late AKI have
a very high incidence and mortality rate. Early diagnosis of AKI provides a critical therapeutic …

Schizophrenia (SZ) is a mental disorder whereby due to the secretion of specific chemicals
in the brain, the function of some brain regions is out of balance, leading to the lack of …

Artificial intelligence (AI) centred diagnostic systems are increasingly recognised as robust
solutions in healthcare delivery pathways. In turn, there has been a concurrent rise in …

Artificial intelligence (AI) has been successfully exploited in diagnosing many mental
disorders. Numerous systematic reviews summarize the evidence on the accuracy of AI …

We aimed to develop a machine learning (ML) classifier to detect and compare major
psychiatric disorders using electroencephalography (EEG). We retrospectively collected …

Alzheimer's disease (AD) stands as a formidable neurodegenerative ailment that poses a
substantial threat to the elderly population, with no known curative or disease-slowing drugs …

Artificial intelligence (AI) for medical imaging is a technology with great potential. An in-
depth understanding of the principles and applications of magnetic resonance imaging …

Previous studies have reported altered neuroimaging features in right temporal lobe
epilepsy (rTLE). However, the alterations in degree centrality (DC) as a diagnostic method …

In recent years, deep learning models have shown their advantages in neuroimage
analysis, such as brain disease diagnosis. Unfortunately, it is usually difficult to acquire …