Psychiatry

Classification of attention deficit hyperactivity disorder using machine learning on an EEG dataset.

The neurodevelopmental disorder, Attention Deficit Hyperactivity Disorder (ADHD), frequently affecting youngsters, is characterized by persistent patterns of inattention, hyperactivity, and impulsivity, the etiology of which may involve a variety of genetic, environmental, and neurological factors. Electroencephalography (EEG) measures the electrical activity in the brain through neuronal activity...

Reliability and validity of artificial intelligence-based innovative digital scale for the assessment of anxiety in children.

AIM: To assess the reliability and validity of an AI-based, innovative digital scale for the assessment of dental anxiety in children.

Psychotherapy, artificial intelligence and adolescents: ethical aspects.

Artificial intelligence (AI) has rapidly advanced in various domains, including its application in psychotherapy. AI-powered psychotherapy tools prese...

Causal factors in childhood and adolescence leading to anabolic-androgenic steroid use: A machine learning approach.

BACKGROUND: Prior research has demonstrated associations between anabolic-androgenic steroid (AAS) use and features from several childhood and adolesc...

Modified Meta Heuristic BAT with ML Classifiers for Detection of Autism Spectrum Disorder.

ASD (autism spectrum disorder) is a complex developmental and neurological disorder that impacts the social life of the affected person by disturbing ...

Breaking Barriers-The Intersection of AI and Assistive Technology in Autism Care: A Narrative Review.

(Background) Autism increasingly requires a multidisciplinary approach that can effectively harmonize the realms of diagnosis and therapy, tailoring b...

Towards Personalised Mood Prediction and Explanation for Depression from Biophysical Data.

Digital health applications using Artificial Intelligence (AI) are a promising opportunity to address the widening gap between available resources and...

Identification of Diagnostic Schizophrenia Biomarkers Based on the Assessment of Immune and Systemic Inflammation Parameters Using Machine Learning Modeling.

UNLABELLED: Disorders of systemic immunity and immune processes in the brain have now been shown to play an essential role in the development and prog...

Telepresence robots as facilitators of physical exercise during COVID-19: a feasibility and acceptance study.

The COVID-19 pandemic and associated restrictions on mobility and access to green space have disrupted exercise habits worldwide. According to the Wor...

Resisting the (re-)medicalisation of dying and grief in the post-digital age: Natural language processing and qualitative analysis of data from internet support forums.

In the mid-twentieth century, the social movement of death revivalism sought to resist the medicalisation of dying and grief through promotion of the ...

A Machine Learning Analysis of Big Metabolomics Data for Classifying Depression: Model Development and Validation.

BACKGROUND: Many metabolomics studies of depression have been performed, but these have been limited by their scale. A comprehensive in silico analysi...

Early Childhood Aggression in Autistic and Non-Autistic Preschoolers: Prevalence, Topography, and Relationship to Emotional Reactivity.

OBJECTIVE: Despite heightened rates of aggressive behaviors among older autistic youth relative to non-autistic peers, less is known about these behav...

Sleep, physical activity and panic attacks: A two-year prospective cohort study using smartwatches, deep learning and an explainable artificial intelligence model.

BACKGROUND: Sleep and physical activity suggestions for panic disorder (PD) are critical but less surveyed. This two-year prospective cohort study aim...

Psychological Alterations in Youths with Type I Diabetes: Associations with Salivary Cortisol Concentration.

Type 1 diabetes mellitus (T1DM) is one of the most common chronic diseases in children and adolescents, and is associated with stress and other psych...

Prediction of patient admission and readmission in adults from a Colombian cohort with bipolar disorder using artificial intelligence.

INTRODUCTION: Bipolar disorder (BD) is a chronically progressive mental condition, associated with a reduced quality of life and greater disability. P...

Comparing clinical decision-making of AI technology to a multi-professional care team in an electronic cognitive behavioural therapy program for depression: protocol.

INTRODUCTION: Depression is a leading cause of disability worldwide, affecting up to 300 million people globally. Despite its high prevalence and debi...

Predicting treatment response using machine learning: A registered report.

OBJECTIVE: Previous research on psychotherapy treatment response has mainly focused on outpatients or clinical trial data which may have low ecologica...

Evaluation of Gabapentin and Pregabalin Use in Hospitalized Patients With Decreased Kidney Function.

Gabapentin and pregabalin are well-tolerated medications primarily cleared by the kidney. Patients receiving higher gabapentinoid doses with decrease...

The steps that young people and suicide prevention professionals think the social media industry and policymakers should take to improve online safety. A nested cross-sectional study within a Delphi consensus approach.

INTRODUCTION: Concerns exist about the relationship between social media and youth self-harm and suicide. Study aims were to examine the extent to whi...

Exploring the role of AI in classifying, analyzing, and generating case reports on assisted suicide cases: feasibility and ethical implications.

This paper presents a study on the use of AI models for the classification of case reports on assisted suicide procedures. The database of the five Du...