Latest AI and machine learning research in psychiatry for healthcare professionals.
AIMS: Studies conducted during the COVID-19 pandemic found high occurrence of suicidal thoughts and behaviours (STBs) among healthcare workers (HCWs). The current study aimed to (1) develop a machine learning-based prediction model for future STBs using data from a large prospective cohort of Spanish HCWs and (2) identify the most important variables in terms of contribution to the model's predict...
Anxiety disorder poses a significant challenge to mental health. Diagnosing anxiety is complicated due to its various symptoms and factors, often resulting in extended periods of untreated patient suffering. As a result, patients often endure prolonged periods without treatment. This scenario has prompted researchers to step into the domain of non-invasive physiological signals, including electroe...
Globally, mental disorders are a significant burden, particularly in low- and middle-income countries, with high prevalence in Rwanda, especially amon...
BACKGROUND: Cognitive deficits are a central feature of schizophrenia for which there are not any established pharmacological treatments. Antipsychoti...
"Read the room" is a significant social reasoning capability in human daily life. Humans can infer others' mental states from subtle social cues. Pr...
BACKGROUND: Effective patient education is critical in enhancing treatment outcomes and reducing anxiety in dental procedures. This study compares the...
Large language models (LLMs) have shown promise in providing scalable mental health support, while evaluating their counseling capability remains cr...
Parkinson's disease (PD) is a neurodegenerative disorder, manifesting with motor and non-motor symptoms. Depressive symptoms are prevalent in PD, af...
Continuous monitoring of behavior and physiology via wearable devices offers a novel, objective method for the early detection of worsening depressi...
This paper explores the use of Artificial Intelligence (AI) as a tool for diagnosis, assessment, and intervention for individuals with Autism Spectr...
Partial hand amputations significantly affect the physical and psychosocial well-being of individuals, yet intuitive control of externally powered p...
Eating disorders, which include anorexia nervosa and bulimia nervosa, have been exacerbated by the COVID-19 pandemic, with increased diagnoses linke...
The aim of this scoping review was to gather, summarize, and map the knowledge of peoples' experiences on humanoid robots, capable of assisting people...
In a world where technology is increasingly embedded in our everyday experiences, systems that sense and respond to human emotions are elevating dig...
Approximately 1 in 100 children worldwide are diagnosed with Autism Spectrum Disorder (ASD), and 46% to 89% experience significant feeding difficult...
Artificial intelligence (AI) holds potential to support persons with serious mental illness, but evidence remains limited. To explore opportunities an...
INTRODUCTION: Post-stroke depression is one of the important complications of stroke and affects patients' quality of life. Early identification of po...
INTRODUCTION: Mental state refers to a person's state of mind from various perspectives, including consciousness, intention, and functionalism. Mental...
IMPORTANCE: The diagnosis of schizophrenia and bipolar disorder is often delayed several years despite illness typically emerging in late adolescence ...
OBJECTIVES: To identify the factors associated with post-stroke depression (PSD) and develop a machine learning predictive model using a large dataset...