Latest AI and machine learning research in psychiatry for healthcare professionals.
BACKGROUND: The Aberrant Salience (AS) model conceptualizes psychosis onset as the altered attribution of salience to neutral stimuli. The Aberrant Salience Inventory (ASI), a psychometric tool, measures this phenomenon. This study utilized a multi-center, multi-country retrospective dataset to refine the ASI's screening capabilities using decision tree (DT) and multilayer perceptron (MLP) models....
Starting in the 1970s with robots that were physically isolated from contact with their human co-workers, robots now collaborate with human workers towards a common task goal in a shared workspace. This type of robotic device represents a new era of workplace automation. Industrial robotics is rapidly evolving due to advances in sensor technology, artificial intelligence (AI), wireless communicati...
The international refugee crisis deepens, exposing millions of dis placed children to extreme psychological trauma. This research suggests a com pac...
This study aims to integrate cross-disease omics data and perform multidimensional analysis to uncover the molecular basis of schizophrenia (SCZ) and ...
Major depressive disorder represents one of the most significant global health challenges of the 21st century, affecting millions of people worldwid...
Can Vision Language Models (VLMs) imagine the full scene from just a few views, like humans do? Humans form spatial mental models, internal represen...
Background. Chronic pain afflicts 20 % of the global population. A strictly biomedical mind-set leaves many sufferers chasing somatic cures and has ...
With the advent of Industry 5.0, manufacturers are increasingly prioritizing worker well-being alongside mass customization. Stress-aware Human-Robo...
BACKGROUND: For suicide in major depression disorder, it is urgent to seek for a reliable neuroimaging biomarker with interpretable links to molecular...
Family caregivers of individuals with Alzheimer's Disease and Related Dementia (AD/ADRD) face significant emotional and logistical challenges that p...
Social isolation and loneliness, which have been increasing in recent years strongly contribute toward suicide rates. Although social isolation and ...
Depression is a significant mental health concern, particularly in professional environments where work-related stress, financial pressure, and life...
Multimodal medical imaging integrates diverse data types, such as structural and functional neuroimaging, to provide complementary insights that enh...
BACKGROUND: In the context of escalating global mental health challenges, adolescent suicide has become a critical public health concern. In current c...
Generative models based on deep learning have shown significant potential in medical imaging, particularly for modality transformation and multimoda...
This study utilized data from the 2020 wave of the China Health and Retirement Longitudinal Study database, selecting 4322 participants aged 60 and ab...
Non-suicidal self-injury (NSSI) in adolescent girls is a critical predictor of subsequent depression and suicide risk, yet current tools lack both acc...
BACKGROUND: Early diagnosis and treatment of mental illnesses is hampered by the lack of reliable markers. This study used machine learning models to ...
This paper explores the growing presence of emotionally responsive artificial intelligence through a critical and interdisciplinary lens. Bringing t...
Family caregivers often face substantial mental health challenges due to their multifaceted roles and limited resources. This study explored the pot...