Psychiatry

Multi-domain ECG feature extraction enable accurate automated recognition of bipolar disorder, depression and schizophrenia.

OBJECTIVE: To develop and validate a multi-lead electrocardiogram (ECG)-based machine learning syste...

Artificial intelligence perceptions and career anxiety among health sciences students.

Recent rapid developments in artificial intelligence (AI) technologies are leading to significant ch...

Deep learning using electroencephalogram (EEG) data for diagnosing and predicting SSRI response in major depressive disorder.

BACKGROUND: Major Depression (MDD) is a potentially life-threatening condition that ranks among the ...

Predicting early clinical recovery in first-episode psychosis: development and external validation of a clinically interpretable multivariable model.

BACKGROUND: Identifying patients with first-episode psychosis (FEP) who are unlikely to achieve earl...

REM Sleep Abnormalities in Children With Autism Spectrum Disorder.

Sleep disturbances are common in children with autism spectrum disorder (ASD). However, the sleep pa...

Assessing the accuracy of 4 generative AI tools to guide dosing of long-acting injectable antipsychotics.

PURPOSE: The purpose of this study was to review the accuracy of 4 different artificial intelligence...

Differentiating Depression Subtypes through three-electrode EEG and Emotional Stimuli: A Machine Learning Approach.

We propose an EEG-based framework for depression subtype assessment using emotion-modulated neural d...

A Deep Learning Approach for Analyzing Brainwave Signals During Audio Meditation in Expectant Mothers: Variational Mode Decomposition with a CNN-BiLSTM Model.

Meditation has increasingly been recognized as a helpful non-pharmacological intervention to treat p...

Identifying postpartum depression subtypes using natural language processing and clinical notes.

BACKGROUND: Postpartum depression (PPD) remains vastly underdiagnosed, and its clinical heterogeneit...

Explicitly acquired interrelations among mental schema reduces cognitive load and facilitates emergence of novel responses in mice and artificial neural networks.

Mammalian brain has evolved to infer from past experiences and elicit context relevant novel behavio...

Attitudes toward artificial intelligence among individuals with anxiety, depression, bipolar disorders, and schizophrenia.

BACKGROUND: Artificial intelligence (AI) increasingly supports medical diagnosis, interventions, and...

Nurses' artificial intelligence anxiety levels, their attitudes towards artificial intelligence, and their skills in acting humanistically in nursing practices.

AIM: This study aims to investigate the levels of artificial intelligence-related anxiety among nurs...

A Therapeutic Conversational Agent (Solace) for Management of Chronic Pain: Acceptability and Usability Study.

BACKGROUND: Chronic pain is a critical cause of personal suffering and societal concern. However, tr...

Exploring brain lobe-specific insights in an explainable framework for EEG-based schizophrenia detection.

Schizophrenia (ScZ) is a growing global health concern that affects millions of people and puts seve...

A proof-of-concept machine learning model for short-term suicide risk stratification in depressed youth.

Machine learning (ML) offers promise for suicide risk stratification in depressed youth, yet its cli...

Comparison of Written and Visual Patient Education Methods Before Urodynamic Studies: A Randomized Controlled Trial.

PURPOSE: This study compared the effects of written versus visual patient education methods on patie...

Utilization and Feasibility of a Wearable Device in Patients With Sedative Effects of Drugs: Protocol for a Prospective Observational Study for the Advanced Respiratory Monitoring Events in Drug Toxicity (ARM-ED) Study.

BACKGROUND: Drug-related deaths worldwide are most commonly attributed to opioids. Opioids and other...

Effectiveness of Al-Assisted Patient Health Education Using Voice Cloning and ChatGPT: Prospective Randomized Controlled Trial.

BACKGROUND: Traditional patient education often lacks personalization and engagement, potentially li...

Blocking the Reflection: Milestones and Hurdles for Digital Twins in Mental Health.

Artificial intelligence in mental health has emerged as a potent tool to foster precision psychiatry...

Technostress in the Era of Generative Artificial Intelligence: Mental Health Implications in Medical Education.

OBJECTIVE: Generative artificial intelligence (GenAI) has rapidly expanded across education. While i...

The age of authenticity anxiety: Artificial intelligence and emerging questions for mental health.