Accurate medical image segmentation remains challenging due to blurred lesion
boundaries (LBA), loss of high-frequency details (LHD), and difficulty in
modeling long-range anatomical structures (DC-LRSS). Vision Mamba employs
one-dimensional causal... read more
OBJECTIVE: To explore the influence related factors of endoscopic assistant in gasless transaxillary endoscopic thyroidectomy by using machine learning and nomogram, and construct an endoscopic assistant system. read more
BACKGROUND: Extrinsic adenomyosis exhibits heterogeneous clinical symptoms, with pain being more commonly reported. The relationship between magnetic resonance imaging (MRI) feature and symptom remains unclear. read more
OBJECTIVE: To develop and evaluate machine learning (ML) models for predicting length of stay (LOS) in elective spine surgery, with a focus on the benefits of temporal modeling and model interpretability. read more
Journal of chemical information and modeling
Jul 25, 2025
Electrochemical promotion of catalysis (EPOC) provides an effective and versatile strategy to enhance catalytic activity, selectivity, and stability in the reverse water-gas shift (RWGS) reaction, facilitating efficient CO hydrogenation to syngas und... read more
Journal of cardiovascular electrophysiology
Jul 25, 2025
BACKGROUND: Screening of asymptomatic/occult atrial fibrillation (AF) remains challenging. This study aimed to use a deep learning model to predict hidden AF in patients who showed normal sinus rhythm (SR) during 24-h Holter monitoring. read more
BACKGROUND: While codes suffice for identifying stroke events in surveillance, accurately classifying stroke types and subtypes using electronic health records remains challenging due to limitations in structured data. This often necessitates manual... read more
Geriatrics & gerontology international
Jul 25, 2025
AIM: Multimorbidity and disability are prevalent in older adults, yet the relationship between specific multimorbidity patterns and disability is poorly understood. This study aimed to identify clinically significant multimorbidity patterns in older ... read more
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