Latest AI and machine learning research in psychiatry for healthcare professionals.
BACKGROUND: Geriatric depression is highly prevalent yet under-recognized, severely affecting older adults' quality of life and social functioning. There is an urgent need for individualized early prediction tools. While deep learning (DL) holds potential, its systematic application in this domain remains underdeveloped. METHODS: Utilizing five waves (2011-2020) of the China Health and Retirement ...
Accurate differentiation among psychiatric disorders such as schizophrenia and bipolar disorder remains a significant clinical challenge due to overlapping symptoms and subtle neuroanatomical variations. This study proposes a dual-representation structural MRI framework in which raw T1-weighted MRI slices and their corresponding color-coded tissue segmentation maps-both derived from the same imagi...
BACKGROUND AND HYPOTHESIS: Minor physical abnormalities (MPAs) are neurodevelopmental markers that can be traced to prenatal events and may be signifi...
BACKGROUND AND HYPOTHESIS: Given the available findings confirming accelerated brain aging in schizophrenia (SZ), we conducted a study aimed at verify...
BACKGROUND AND HYPOTHESIS: Digital remote monitoring (DRM) captures service users' health-related data remotely using devices such as smartphones and ...
BACKGROUND: The application of artificial intelligence in mental health faces unique challenges. Psychiatric nurses provide direct care to patients wi...
Precision neurotherapeutics represents a transformative paradigm shift from standardized "one-size-fits-all" treatments of neurological, neurodegenera...
BACKGROUND: The use of artificial intelligence (AI) to analyze health care data has become common in behavioral health sciences. However, the lack of ...
BACKGROUND: Currently available cardiovascular disease (CVD) risk prediction tools may underestimate the risk in individuals with schizophrenia. OBJEC...
BACKGROUND: To accurately detect individuals' mental health issues using artificial intelligence and self-report scales, it is crucial to recognize ho...
Rheumatoid arthritis (RA) is a systemic autoimmune disease that predominantly affects synovial joints, especially those of the hands, elbows, wrists, ...
In eukaryotes, most genes produce multiple transcript isoforms that diversify the transcriptome and proteome, serving as a key mechanism of functional...
Emetophobia is a specific phobia characterized by an intense fear of vomiting, often accompanied by panic attacks, hypervigilance to bodily sensations...
BACKGROUND: The growing burden of multimorbidity challenges the healthcare system due to increased healthcare utilization and uncoordinated care. Iden...
CONTEXT: Post-traumatic stress disorder (PTSD) is mainly assessed through self-reports and clinician interviews, which can delay recognition and limit...
BACKGROUND: Nursing interns face early clinical distress; chatbot-based mental health tools show promise, although evidence of their feasibility and e...
Artificial intelligence (AI) holds transformative potential for the care of people with mental health illnesses. This Review explores key domains and ...
BACKGROUND: Shortages in mental healthcare lead to long periods of inadequate support for many patients. While digital interventions offer a scalable ...
Healthcare is among the fastest growing sectors utilizing artificial intelligence to improve efficiency, quality and accessibility to services. In par...
Continuous and scalable monitoring of cognition and affective states is critical for the early detection of brain health, which is currently limited b...