Latest AI and machine learning research in depression for healthcare professionals.
Social media behavior is a promising source of early indicators for psychological distress; however, predictive models often lack transparency, limiting their adoption in mental health settings. This paper describes an explainable machine learning framework for predicting self-reported depression risk based on behavioral features collected from 481 anonymized social media users. Three supervised l...
BACKGROUND: Language analysis methods have been increasingly explored for the detection of depressive symptoms. However, current approaches have largely focused on analysing the thematic content of language, while the underlying structure and grammatical composition of language remains underexamined. The current study assessed features of syntactic complexity in written text as potential linguisti...
IMPORTANCE: Despite increasingly widespread use of artificial intelligence (AI)-driven ambient scribes in medicine, the extent to which they are assoc...
Loneliness, depression, and anxiety are prevalent among older adults in post-acute and long-term care settings and are associated with adverse health ...
Mounting evidence highlights the interplay between gut microbiota, metabolism, and depression. In this study, we analyze fecal and serum metabolomes i...
Loneliness is a major psychological challenge in older adulthood, contributing to increased risks of depression, anxiety, and mortality. Conversationa...
OBJECTIVES: Vagus nerve stimulation (VNS) is increasingly recognized as a therapeutic approach for neurological disorders, such as epilepsy, migraine,...
With the accelerated urbanization process, the impact of the urban environment on the mental health of residents has attracted extensive attention. Ho...
Rare-earth-based materials are attracting growing interest for neuromorphic devices due to their unique electronic structures, defect engineering capa...
Resting-state functional magnetic resonance imaging (rs-fMRI) provides critical biomarkers for diagnosing neuropsychiatric disorders such as autism sp...
Stroke, a result of acute cerebrovascular disease that causes cerebral dysfunction, often coexists with depression or even major depressive disorder (...
Functional magnetic resonance imaging (fMRI) allows real-time observation of brain activity through blood oxygen level-dependent (BOLD) signals and is...
BACKGROUND: Inflammation is implicated in the elevated risk of depressive disorder following myocardial infarction (MI), with platelets serving as a k...
BACKGROUND: Traditional patient education often lacks personalization and engagement, potentially limiting knowledge acquisition and treatment adheren...
BACKGROUND: Geriatric depression is highly prevalent yet under-recognized, severely affecting older adults' quality of life and social functioning. Th...
BACKGROUND: The use of artificial intelligence (AI) to analyze health care data has become common in behavioral health sciences. However, the lack of ...
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, ...
BACKGROUND: Nursing interns face early clinical distress; chatbot-based mental health tools show promise, although evidence of their feasibility and e...
BACKGROUND: Shortages in mental healthcare lead to long periods of inadequate support for many patients. While digital interventions offer a scalable ...