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Quantitative Research on Digitalized Treatment Options for Older Adults With Mental Illness: Scoping Review.
JMIR mental health
Jul 7, 2025
BACKGROUND: Older adults with mental illness face specific physical and psychosocial challenges and inequities, reflected in limited access to advanced technology. This digital divide is alarming as mental health interventions increasingly depend on ...
External validation of a prediction model for disability and pain after lumbar disc herniation surgery: a prospective international registry-based cohort study.
Acta orthopaedica
Jul 7, 2025
BACKGROUND AND PURPOSE: We aimed to externally validate machine learning models developed in Norway by evaluating their predictive outcome of disability and pain 12 months after lumbar disc herniation surgery in a Swedish and Danish cohort.
Machine learning-based prediction of short- and long-term mortality for shared decision-making in older hip fracture patients: the Dutch Hip Fracture Audit algorithms in 74,396 cases.
Acta orthopaedica
Jul 7, 2025
BACKGROUND AND PURPOSE: Treatment-related shared decision-making (SDM) in older adults with hip fractures is complex due to the need to balance patient-specific factors such as life goals, frailty, and surgical risks. It includes considerations such...
Performance of GPT-4 for automated prostate biopsy decision-making based on mpMRI: a multi-center evidence study.
Military Medical Research
Jul 7, 2025
BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) has significantly advanced prostate cancer (PCa) detection, yet decisions on invasive biopsy with moderate prostate imaging reporting and data system (PI-RADS) scores remain ambiguous.
Artificial intelligence-assisted longitudinal assessment of coronary artery calcification in the Korean lung cancer screening CT program.
Clinical imaging
Jul 6, 2025
PURPOSE: The clinical implications of coronary artery calcification (CAC) growth remain underexplored. This study aims to assess CAC growth and its association with adverse cardiovascular events (ACEs) in individuals undergoing lung cancer screening ...
Interpretable machine learning models for survival prediction in prostate cancer bone metastases.
Scientific reports
Jul 6, 2025
Prostate cancer bone metastasis (PCBM) is a highly lethal condition with limited survival. Accurate survival prediction is essential for managing these typically incurable patients. However, existing clinical models lack precision. This study seeks t...
Leveraging machine-learning techniques to detect recurrences in cancer registry data: A multi-registry validation study using German lung cancer data.
European journal of cancer (Oxford, England : 1990)
Jul 5, 2025
BACKGROUND: Cancer recurrence and progression, once seen as markers of poor prognosis, are now considered manageable aspects of long-term care. Advances in treatment have extended survival, emphasizing the need for representative epidemiological info...
Association between continuous glucose monitoring metrics and metabolic dysfunction-associated steatotic liver disease in adults with type 1 diabetes undergoing vibration-controlled transient elastography: a multicenter cross-sectional study.
Diabetes & metabolism
Jul 5, 2025
BACKGROUND: There is uncertainty regarding the association between continuous glucose monitoring (CGM), derived glycemic metrics, and metabolic dysfunction-associated steatotic liver disease (MASLD) in individuals with type 1 diabetes (T1D).
A deep learning model for preoperative risk stratification of pancreatic ductal adenocarcinoma based on genomic predictors of liver metastasis.
European journal of cancer (Oxford, England : 1990)
Jul 5, 2025
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) frequently presents with occult metastatic disease which can undermine the benefit of local treatment. Improved preoperative tools may enhance risk stratification.
Neuroimaging and biological markers of different paretic hand outcomes after stroke.
Journal of neuroengineering and rehabilitation
Jul 5, 2025
BACKGROUND: Hand dysfunction significantly affects independence after stroke, with outcomes varying across individuals. Exploring biomarkers associated with the paretic hand can improve the prognosis and guide personalized rehabilitation. However, wh...
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