Our current diagnostic methods for treatment planning in Psychiatry and
Neurodevelopmental Disabilities leave room for improvement, and null results in clinical …

Recent advances in machine learning (ML) promise far-reaching improvements across
medical care, not least within psychiatry. While to date no psychiatric application of ML …

Schizophrenia (SZ) is a severe psychiatric illness, and it affects around 1% of the general
population; however, its reliable diagnosis is challenging. Functional MRI (fMRI) and …

Deep Learning (DL) and specifically CNN models have become a de facto method for a
wide range of vision tasks, outperforming traditional machine learning (ML) methods …

Schizophrenia (SZ) is a mental heterogeneous psychiatric disorder with unknown cause.
Neuroscientists postulate that it is related to brain networks. Recently, scientists applied …

Previous brain structural magnetic resonance imaging studies reported that patients with
schizophrenia have brain structural abnormalities, which have been used to discriminate …

Objective Port-wine birthmark (PWB) is a common occurrence in the newborn, and general
pediatricians, dermatologists, and ophthalmologists are often called on to make an …

Recently, machine learning techniques have been widely applied in discriminative studies
of schizophrenia (SZ) patients with multimodal magnetic resonance imaging (MRI); however …

Diagnosis of HIV-associated neurocognitive impairment (NCI) continues to be a clinical
challenge. The purpose of this study was to develop a prediction model for NCI among …

Background Convergent evidence is increasing to indicate progressive brain abnormalities
in schizophrenia. Knowing the brain network features over the illness course in …