Psychiatry

Latest AI and machine learning research in psychiatry for healthcare professionals.

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Automated depression detection via cloud based EEG analysis with transfer learning and synchrosqueezed wavelet transform.

Post-COVID-19, depression rates have risen sharply, increasing the need for early diagnosis using el...

Unlocking the Potential of Wear Time of a Wearable Device to Enhance Postpartum Depression Screening and Detection: Cross-Sectional Study.

BACKGROUND: Postpartum depression (PPD) is a mood disorder affecting 1 in 7 women after childbirth t...

Using Digital Phenotyping to Discriminate Unipolar Depression and Bipolar Disorder: Systematic Review.

BACKGROUND: Differentiating bipolar disorder (BD) from unipolar depression (UD) is essential, as the...

The Gut Microbiota in Young Adults with High-Functioning Autism Spectrum Disorder and Its Performance as Diagnostic Biomarkers.

Diagnosing ASD in adults presents unique challenges, and there are currently no specific biomarkers...

Machine learning in the prediction of treatment response for emotional disorders: A systematic review and meta-analysis.

BACKGROUND: Emotional disorders such as depression and anxiety affect millions globally and pose a s...

Speech and Voice Quality as Digital Biomarkers in Depression: A Systematic Review.

OBJECTIVE: To review the current evidence on the use of artificial intelligence-driven speech and vo...

NSSI-Net: A Multi-Concept GAN for Non-Suicidal Self-Injury Detection Using High-Dimensional EEG in a Semi-Supervised Framework.

Non-suicidal self-injury (NSSI) is a serious threat to the physical and mental health of adolescents...

Blunted Niacin Skin Flushing Response in Schizophrenia: A Meta-analysis.

BACKGROUND AND HYPOTHESIS: The multifactorial pathogenesis of schizophrenia (SZ) hinders the diagnos...

Unlocking the potential of wearable technology: Fitbit-derived measures for predicting ADHD in adolescents.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder ...

A Comparison of Responses from Human Therapists and Large Language Model-Based Chatbots to Assess Therapeutic Communication: Mixed Methods Study.

BACKGROUND: Consumers are increasingly using large language model-based chatbots to seek mental heal...

Application of artificial intelligence in modern healthcare for diagnosis of autism spectrum disorder.

INTRODUCTION: Symptoms of autism spectrum disorder (ASD) range from mild to severe and are evident i...

12-Month trajectories of physical and mental symptom scores after COVID-19 hospitalization and their role in predicting "very long" COVID.

BACKGROUND: Long COVID syndrome (LCS) represents a significant global health challenge due to its wi...

Postpartum depression in Northeastern China: a cross-sectional study 6 weeks after giving birth.

INTRODUCTION: Postpartum depression (PPD) is a prevalent mental health issue that poses significant ...

Machine Learning Based Early Diagnosis of ADHD with SHAP Value Interpretation: A Retrospective Observational Study.

BACKGROUND: Attention-Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder ...

Assessing the Accuracy and Reliability of Large Language Models in Psychiatry Using Standardized Multiple-Choice Questions: Cross-Sectional Study.

BACKGROUND: Large language models (LLMs), such as OpenAI's GPT-3.5, GPT-4, and GPT-4o, have garnered...

Exosomal microRNA signatures in youth at clinical high risk for bipolar disorder.

INTRODUCTION: Individuals at clinical high risk for bipolar disorder (CHR-BD) experienced insufficie...

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