Latest AI and machine learning research in psychiatry for healthcare professionals.
Early recognition of predictors of adolescents' conduct problems is crucial for timely intervention....
Ecological Momentary Interventions (EMIs) using machine learning (ML)-based assignment algorithms ma...
Artificial intelligence (AI) is reshaping healthcare by enhancing clinical decision making, communic...
BACKGROUND: In clinical settings, clinicians' context-specific trust in AI is associated with indivi...
BACKGROUND: Borderline personality disorder (BPD) is associated with substantial distress and a high...
BACKGROUND: Perinatal mental health disorders affect approximately 20% of pregnant and postpartum in...
INTRODUCTION: Peripheral intravenous cannulation (PIVC) is one of the most frequently performed proc...
Objective: This study used a machine learning approach to examine how marijuana use, social connecte...
Mental illness is becoming increasingly common in everyday life, affecting a growing number of peopl...
Artificial intelligence (AI) and e-health literacy are increasingly relevant to nursing education; h...
Pediatric chest pain represents a frequently encountered symptom in emergency departments and outpat...
Precision Medicine in Child and Adolescent Psychiatry: The Potential, Limitations, and Prospects for...
Emergency department (ED) visits for child and adolescent psychiatric presentations have increased i...
Researchers often want to measure a variety of constructs such as anxiety, discrimination, or loneli...
BACKGROUND: Mental health clinical notes contain decision-critical information often absent from str...
BACKGROUND: This study aimed to develop and evaluate multimodal machine learning (ML) approaches for...
BACKGROUND: Transcutaneous electrical cranial-auricular acupoint stimulation (TECAS) is an effective...
BACKGROUND: Whether adolescent major depressive disorder (MDD) with psychotic features has a distinc...
In recent years, an increasing body of research supports the "disconnection" hypothesis of schizophr...
BACKGROUND: Men attending ART clinics often have poor fertility awareness and are typically overlook...
OBJECTIVE: To identify data-driven body composition phenotypes in patients with moderate-to-extreme ...