Psychiatry

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...

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 harmoniz...

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

Digital health applications using Artificial Intelligence (AI) are a promising opportunity to addres...

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 ...

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 disrupt...

Research Letter: Could ChatGPT and Bard provide helpful responses to a person seeking advice on how to support someone with a mental health problem?

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 medicalis...

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...

AI assistants for psychiatric research writing: The untold story.

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 su...

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 adolesce...

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 peo...

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...

Combined extended reality and reinforcement learning to promote healthcare and reduce social anxiety in fragile X syndrome: a new assessment tool and a rehabilitative strategy.

Predicting treatment response using machine learning: A registered report.

OBJECTIVE: Previous research on psychotherapy treatment response has mainly focused on outpatients o...

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 ...

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 sui...

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 assist...

Deconstructing depression by machine learning: the POKAL-PSY study.

Unipolar depression is a prevalent and disabling condition, often left untreated. In the outpatient ...

Select or adjust? How information from early treatment stages boosts the prediction of non-response in internet-based depression treatment.

BACKGROUND: Internet-based interventions produce comparable effectiveness rates as face-to-face ther...

Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study.

BACKGROUND: Most mental health care providers face the challenge of increased demand for psychothera...