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MRI-based machine-learning radiomics of the liver to predict liver-related events in hepatitis B virus-associated fibrosis.
European radiology experimental
Aug 27, 2025
BACKGROUND: The onset of liver-related events (LREs) in fibrosis indicates a poor prognosis and worsens patients' quality of life, making the prediction and early detection of LREs crucial. The aim of this study was to develop a radiomics model using...
Integration of Multi-omics Data Based on Deep Learning for Subtyping of Low-Grade Glioma.
Journal of molecular neuroscience : MN
Aug 27, 2025
Low-grade gliomas (LGGs) represent a complex and aggressive category of brain tumors. Despite recent advancements in molecular subtyping and characterization, the necessity to identify additional molecular subtypes and biomarkers remains. To delineat...
Predicting prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure from longitudinal ultrasound images using a multi-task deep learning approach.
Annals of medicine
Aug 26, 2025
BACKGROUND: Individualized risk stratification in hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) remains challenging. This study aimed to develop and validate a multi-task deep learning model using longitudinal liver ultrasound i...
Predicting children and adolescents at high risk of poor health‑related quality of life using machine learning methods.
Health and quality of life outcomes
Aug 26, 2025
BACKGROUND: Existing research has identified health‑related quality of life (HRQoL) is influenced by a multitude of factors among children and adolescents. However, there has been relatively limited exploration of the multidimensional predictive fact...
Explainable machine learning identifies key quality-of-life-related predictors of arthritis status: evidence from the China health and retirement longitudinal study.
Health and quality of life outcomes
Aug 26, 2025
BACKGROUND: Arthritis is a prevalent chronic disease substantially impacting patients' quality of life (QoL). While identifying key determinants associated with arthritis is critical for targeted interventions, traditional statistical methods often s...
Exploring the potential relationship between kidney disease index and cognitive dysfunction: a machine learning approach with NHANES data.
BMC geriatrics
Aug 26, 2025
OBJECTIVE: This study investigates the relationship between the Kidney Disease Index (KDI) and cognitive function, evaluating its potential as a predictive marker for cognitive impairment in older adults. We also compare the performance of KDI with t...
Artificial intelligence-assisted quality control circles led by clinical pharmacists to improve the rational use of parenteral proton pump inhibitors among hospitalised patients.
Scientific reports
Aug 26, 2025
Proton pump inhibitors (PPIs) are a class of drugs that inhibit gastric acid secretion and are commonly overused in clinical practice. We developed a quality control circle (QCC) assisted by artificial intelligence (AI) and led by clinical pharmacist...
Comparison of the number of peripapillary perforating scleral vessels between glaucomatous eyes and healthy eyes.
Scientific reports
Aug 26, 2025
This study aimed to compare the number of peripapillary perforating scleral vessels (PPSVs) between eyes with and without glaucoma. A retrospective case-control analysis was performed on patients with glaucoma and control participants who underwent s...
Advanced smart human activity recognition system for disabled people using artificial intelligence with snake optimizer techniques.
Scientific reports
Aug 26, 2025
Human Activity Recognition (HAR) has become an active research area in recent years due to its applicability in various domains and the growing need for convenient facilities and intelligent homes for the elderly. Physical activity tends to decrease ...
Integrating biometric and multimodal imaging data for early prediction of myopia onset.
Scientific reports
Aug 26, 2025
Myopia is a growing global health concern, and early detection and intervention are crucial for preventing its onset and progression. This study aims to predict myopia onset one year in advance by integrating biometric measurements with multimodal im...
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