In recent years, there has been a great interest in utilizing technology in mental health
research. The rapid technological development has encouraged researchers to apply …

Dyslexia is a neurological problem that leads to obstacles and difficulties in the learning
process, especially in reading. Generally, people with dyslexia suffer from weak reading …

Nowadays, quantum-enhanced methods have been widely studied to solve machine
learning related problems. This article presents the application of a Variational Quantum …

Learning disability (LD), a neurodevelopmental disorder that has severely impacted the lives
of many children all over the world. LD refers to significant deficiency in children's reading …

Dyslexia is a neurological disorder that is characterized by imprecise comprehension of
words and generally poor reading performance. It affects a significant population of school …

Background The development of machine learning models for aiding in the diagnosis of
mental disorder is recognized as a significant breakthrough in the field of psychiatry …

Dyslexia is the hidden learning disability, neurobiological in origin wherein students face
hard time in accurate or fluent word recognition, connecting letters to the sounds. In India …

Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …

Background Dyslexia is a neurological disorder which affects the learning of individuals
suffering from it, especially children. It causes reading and writing difficulties, leading to …

Complex network analysis has an increasing relevance in the study of neurological
disorders, enhancing the knowledge of brain's structural and functional organization …