AIMC Topic: Middle Aged
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Voice fatigue subtyping through individual modeling of vocal demand reponses.
Scientific reports
Jul 16, 2025
Recognizing individual variability is essential for developing targeted, personalized medical interventions. Vocal fatigue is a prevalent symptom and complaint among occupational voice users, but its identification has yielded mixed results. Vocal fa...
Artificial intelligence-based diabetes risk prediction from longitudinal DXA bone measurements.
Scientific reports
Jul 16, 2025
Diabetes mellitus (DM) is a serious global health concern that poses a significant threat to human life. Beyond its direct impact, diabetes substantially increases the risk of developing severe complications such as hypertension, cardiovascular disea...
Developing an explainable machine learning and fog computing-based visual rating scale for the prediction of dementia progression.
Scientific reports
Jul 16, 2025
Recently, dementia research has primarily concentrated on using Magnetic Resonance Imaging (MRI) to develop learning models in processing and analyzing brain data. However, these models often cannot provide early detection of affected brain regions. ...
Multi-scale machine learning model predicts muscle and functional disease progression.
Scientific reports
Jul 16, 2025
Facioscapulohumeral muscular dystrophy (FSHD) is a genetic neuromuscular disorder characterized by progressive muscle degeneration with substantial variability in severity and progression patterns. FSHD is a highly heterogeneous disease; however, cur...
Automatic segmentation of liver structures in multi-phase MRI using variants of nnU-Net and Swin UNETR.
Scientific reports
Jul 16, 2025
Accurate segmentation of the liver parenchyma, portal veins, hepatic veins, and lesions from MRI is important for hepatic disease monitoring and treatment. Multi-phase contrast enhanced imaging is superior in distinguishing hepatic structures compare...
Characterising corneal changes in aniridia-related keratopathy using in vivo confocal microscopy and a self-supervised AI model.
BMJ open ophthalmology
Jul 16, 2025
PURPOSE: To investigate whether corneal changes observed via in vivo confocal microscopy (IVCM) in patients with aniridia-related keratopathy (ARK) reflect clinical severity.
Machine learning model for postpancreaticoduodenectomy haemorrhage prediction: an international multicentre cohort study.
BMJ open
Jul 16, 2025
OBJECTIVES: To develop and validate a machine learning model for precise risk stratification of postpancreaticoduodenectomy haemorrhage (PPH), enabling early identification of high-risk patients to guide clinical intervention.
Association Between Comorbidity Clusters and Mortality in Patients With Cancer: Predictive Modeling Using Machine Learning Approaches of Data From the United States and Hong Kong.
JMIR cancer
Jul 16, 2025
BACKGROUND: Patients with cancer and cancer survivors often experience multiple chronic health conditions, which can impact symptom burden and treatment outcomes. Despite the high prevalence of multimorbidity, research on cancer prognosis has predomi...
Detection and Analysis of Circadian Biomarkers for Metabolic Syndrome Using Wearable Data: Cross-Sectional Study.
JMIR medical informatics
Jul 16, 2025
BACKGROUND: Wearable devices are increasingly used for monitoring health and detecting digital biomarkers related to chronic diseases such as metabolic syndrome (MetS). Although circadian rhythm disturbances are known to contribute to MetS, few studi...
A Machine Learning Approach to Differentiate Cold and Hot Syndrome in Viral Pneumonia Integrating Traditional Chinese Medicine and Modern Medicine: Machine Learning Model Development and Validation.
JMIR medical informatics
Jul 16, 2025
BACKGROUND: Syndrome differentiation in traditional Chinese medicine (TCM) is an ancient principle that guides disease diagnosis and treatment. Among these, the cold and hot syndromes play a crucial role in identifying the nature of the disease and g...
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