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A Machine Learning-Based Prognostication Model Enhances Prediction of Early Hepatic Encephalopathy in Patients With Noncancer-Related Cirrhosis: Multicenter Longitudinal Cohort Study in Taiwan.
JMIR medical informatics
Aug 6, 2025
BACKGROUND: Hepatic encephalopathy (HE) contributes significantly to mortality among patients with liver cirrhosis. Early prediction of HE is essential for clinical decision-making, yet remains challenging-particularly in noncancer-related cirrhosis ...
Predictive Modeling of Osteonecrosis of the Femoral Head Progression Using MobileNetV3_Large and Long Short-Term Memory Network: Novel Approach.
JMIR medical informatics
Aug 6, 2025
BACKGROUND: The assessment of osteonecrosis of the femoral head (ONFH) often presents challenges in accuracy and efficiency. Traditional methods rely on imaging studies and clinical judgment, prompting the need for advanced approaches. This study aim...
Circulating epigenetic signatures classifying brain insulin resistance in humans.
Science translational medicine
Aug 6, 2025
Brain insulin action plays an important role in metabolic and cognitive health, but there is no biomarker available to assess brain insulin resistance in humans. Here, we developed a machine learning framework based on blood DNA methylation profiles ...
Beyond the Conveyor Belt: The Influence of Robotization on Work Characteristics. A Qualitative Study in Manufacturing Companies.
The Spanish journal of psychology
Aug 6, 2025
The numbers of robots in organizations grow at an increasing rate. However, very little is known about how robotization (i.e., the implementation of robots at work) affects the work characteristics of the jobs it impacts. This qualitative study focus...
Altered gray matter morphometry in psychogenic erectile dysfunction patients: A Surface-based morphometry study.
Scientific reports
Aug 6, 2025
Psychogenic erectile dysfunction (pED) is a prevalent male sexual dysfunction lacking organic etiology. Endeavors have been made in previous studies to disclose the brain pathological mechanisms of pED. However, the cortical morphological characteris...
Attitudes and readiness to adopt artificial intelligence among healthcare practitioners in Pakistan's resource-limited settings.
BMC health services research
Aug 6, 2025
BACKGROUND: Artificial Intelligence (AI) can empower clinicians to make data-driven decisions, treatments and streamline administrative tasks. However, it is vital to understand their perception towards AI for seamless implementation in practice. The...
Dynamic neural network modulation associated with rumination in major depressive disorder: a prospective observational comparative analysis of cognitive behavioral therapy and pharmacotherapy.
Translational psychiatry
Aug 6, 2025
Cognitive behavioral therapy (CBT) and pharmacotherapy are primary treatments for major depressive disorder (MDD). However, their differential effects on the neural networks associated with rumination, or repetitive negative thinking, remain poorly u...
Boosted neural network modeling of psychological and social factors of work affecting safety performance and job satisfaction in the process industry.
BMC psychology
Aug 5, 2025
Psychological and social factors of work were found to influence workers' safety performance and job satisfaction. This study aimed to assess the effects of psychological and social factors of work affecting safety performance and job satisfaction of...
VR-based gamma sensory stimulation: a pilot feasibility study.
Scientific reports
Aug 5, 2025
Alzheimer's disease (AD) presents a critical global health challenge, with current therapies offering limited efficacy and safety in halting disease progression. Gamma sensory stimulation (GSS) has emerged as a promising non-invasive neuromodulation ...
Development and interpretation of a machine learning risk prediction model for post-stroke depression in a Chinese population.
Scientific reports
Aug 5, 2025
Current evidence for predictive models of post-stroke depression (PSD) risk based on machine learning (ML) remains limited. The aim of this study is to develop a superior predictive model based on ML algorithms for PSD in the Chinese population. We r...
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