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Evaluating the Quality and Understandability of Radiology Report Summaries Generated by ChatGPT: Survey Study.
JMIR formative research
Aug 27, 2025
BACKGROUND: Radiology reports convey critical medical information to health care providers and patients. Unfortunately, they are often difficult for patients to comprehend, causing confusion and anxiety, thereby limiting patient engagement in health ...
Misleading Results in Posttraumatic Stress Disorder Predictive Models Using Electronic Health Record Data: Algorithm Validation Study.
Journal of medical Internet research
Aug 27, 2025
BACKGROUND: Electronic health record (EHR) data are increasingly used in predictive models of posttraumatic stress disorder (PTSD), but it is unknown how multivariable prediction of an EHR-based diagnosis might differ from prediction of a more rigoro...
A Machine Learning Model for Predicting Sarcopenia Among Middle-Aged Adults: Development and External Validation.
JMIR medical informatics
Aug 27, 2025
BACKGROUND: Sarcopenia is a common muscle disorder in older adults, and its early identification and management in middle-aged populations are essential for ensuring a healthier later life. Detecting sarcopenia at an earlier stage may reduce the futu...
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...
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