AIMC Topic: Adult
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Sleep disturbances and PTSD: identifying baseline predictors of insomnia response in an intensive treatment programme.
European journal of psychotraumatology
Jun 23, 2025
This study examined whether baseline demographic and clinical variables could predict clinically significant reductions in insomnia symptoms among veterans receiving a 2-week Cognitive Processing Therapy (CPT)-based intensive PTSD treatment programm...
Classification of primary glomerulonephritis using machine learning models: a focus on IgA nephropathy prediction.
BMC nephrology
Jun 23, 2025
OBJECTIVE: IgA nephropathy (IgAN) is the most common form of glomerulonephritis worldwide, characterized by immune complex deposition in the glomerular mesangium, leading to mesangial hypercellularity, persistent microhematuria, proteinuria, and prog...
Perception, usage, and concerns of artificial intelligence applications among postgraduate dental students: cross-sectional study.
BMC medical education
Jun 23, 2025
BACKGROUND: Future dental applications of artificial intelligence (AI) are anticipated to be widely adopted across all dental specialities. However, there are some concerns among many users about the accuracy of the given information. Therefore, this...
Artificial intelligence and the wellbeing of workers.
Scientific reports
Jun 23, 2025
This study explores the relationship between artificial intelligence (AI) and workers' well-being and health using longitudinal survey data from Germany (2000-2020). Using a measure of occupational exposure to AI, we explore an event study design and...
Evaluating a brief smartphone-based stress management intervention with heart rate biofeedback from built-in sensors in a three arm randomized controlled trial.
Scientific reports
Jun 23, 2025
Perceived stress is prevalent in industrial societies, negatively impacting mental health. Smartphone-based stress management interventions provide accessible alternatives to traditional methods, but their efficacy remains modest, potentially due to ...
BrainNet-GAN: Generative Adversarial Graph Convolutional Network for Functional Brain Network Synthesis from Routine Clinical Brain Structural T1-Weighted Sequence.
Brain topography
Jun 23, 2025
Functional brain network (FBN) derived from functional Magnetic Resonance Imaging (fMRI) has promising prospects in clinical research, but fMRI is not a routine acquisition data, which limits its popularity in clinical applications. Therefore, it is ...
Lipidomic profiling of human adiposomes identifies specific lipid shifts linked to obesity and cardiometabolic risk.
JCI insight
Jun 23, 2025
BACKGROUNDObesity, a growing health concern, often leads to metabolic disturbances, systemic inflammation, and vascular dysfunction. Emerging evidence suggests that adipose tissue-derived extracellular vesicles (adiposomes) may propagate obesity-rela...
Empowering EFL teachers' perceptions of generative AI-mediated self-professionalism.
PloS one
Jun 23, 2025
This study intends to empower English as a Foreign Language (EFL) teachers' perceptions of generative artificial intelligence (AI)-mediated self-professionalism in engagement, attitudes, constraints, and solutions. Employing the mixed methods researc...
Chinese EFL students' perceptions about the role of artificial intelligence (AI) technologies in their second language (L2) self-concept.
Acta psychologica
Jun 21, 2025
The applications of Artificial Intelligence (AI) technologies to second or foreign language (L2) education have recently been the focus of several studies in the literature. However, the impact of AI tools on students' psychological-affective states ...
A machine learning model for mortality prediction in patients with severe fever with thrombocytopenia syndrome: a prospective, multicenter cohort study.
Emerging microbes & infections
Jun 19, 2025
Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease that imposes a considerable medical burden. In this study, we enrolled 1,606 SFTS patients, developed and validated machine learning models for mortality prediction,...
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