Latest AI and machine learning research in psychiatry for healthcare professionals.
BACKGROUND: Psychiatric clinical notes in electronic health records (EHRs) provide rich longitudinal information that can support clinical decision-making. Using historical medical data can enable earlier identification of mental illness, better characterization of disease trajectories, and more personalized treatment planning. Natural language processing (NLP) transforms these unstructured notes ...
Digital mental health has become an established part of mental health care, but the rapid arrival of large language models and other artificial intelligence (AI) tools has refocused attention on the evidence needed to guide the field. This editorial updates the research priorities articulated by JMIR Mental Health in 2023, while reaffirming their emphasis on equity, replicability, privacy, efficac...
Alexithymia, defined by reduced emotional awareness, is prevalent in psychiatric and substance use disorders; however, its relationship with brain cir...
Growing evidence suggests that exposure to air pollution during early life is associated with autism spectrum disorder (ASD). However, results have be...
BACKGROUND: Sustained attention requires continuous engagement and is sensitive to individual differences in motivational processes. Variability in su...
OBJECTIVES: There is evidence to suggest that alterations in skin health often co-occur with type 2 diabetes (T2D). However, the underlying mechanisms...
Adaptive functioning typically aligns with cognitive ability in the general population, but this relationship appears more complex in neurodivergent p...
The World Health Organization (WHO) reports that more than one billion people globally suffer from substantial disability. Involving and integrating i...
BACKGROUND: Symptoms of fatigue, depression or anxiety are frequent in Crohn's Disease (CD) and may relate to disturbed brain-gut interactions. While ...
BACKGROUND: Artificial intelligence (AI) is increasingly reshaping health professions education, but its relationship with students' future career out...
An urgent challenge in clinical science is the reliable detection of psychiatric risk in the aftermath of traumatic or stressful events. Current scree...
BACKGROUND: Suicide and depression among children and adolescents represent critical global public health challenges. Despite a rapidly growing body o...
BACKGROUND: Artificial intelligence (AI) is on the rise in the treatment of persons with psychiatric disorders. It can integrate diverse data points, ...
Advances in large language models (LLMs) have enabled a wide range of applications. However, depression prediction is hindered by the lack of large-sc...
BACKGROUND: Ethical risks of medical artificial intelligence (AI) are a global concern, but existing understanding remains fragmented without an integ...
BACKGROUND: Understanding recovery variability in intensive psychiatric care is crucial, as variable-centered analyses often obscure individual differ...
BACKGROUND: Cyberbullying affects approximately one-third of Thai secondary school students and has been linked to adverse emotional outcomes and ment...
OBJECTIVE: This scoping review aimed to map the existing evidence on the application of artificial intelligence and machine learning in detecting suic...
The use of artificial intelligence (AI) is anticipated to transform mental health care. However, the rapid research growth in this field has outpaced ...
BACKGROUND: The therapeutic strategies for bipolar disorder (BD) and unipolar depression (UD) are quite different. However, the majority of patients w...