AIMC Topic: Machine Learning
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Development of a machine learning-based predictive nomogram for screening children with juvenile idiopathic arthritis: a pseudo-longitudinal study of 223,195 children in the United States.
Frontiers in public health
May 29, 2025
BACKGROUND: Juvenile idiopathic arthritis (JIA) is a prevalent chronic rheumatological condition in children, with reported prevalence ranging from 12. 8 to 45 per 100,000 and incidence rates from 7.8 to 8.3 per 100,000 person-years. The diagnosis of...
Improving cancer detection through computer-aided diagnosis: A comprehensive analysis of nonlinear and texture features in breast thermograms.
PloS one
May 29, 2025
Breast cancer is a significant health issue for women, characterized by its high rates of mortality and sickness. However, its early detection is crucial for improving patient outcomes. Thermography, which measures temperature variations between heal...
Automating the Analysis of Substrate Reactivity through Environment Interaction Mapping.
Journal of chemical information and modeling
May 28, 2025
Exploring the interaction configurations between substrates and atomic or molecular systems is crucial for various scientific and technological applications, such as characterizing catalytic reactions, solvation structures, and molecular interactions...
An integrated analytical approach for biomarker discovery in esophageal cancer: Combining trace element and oxidative stress profiling with machine learning.
Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS)
May 28, 2025
BACKGROUND: Early detection of esophageal squamous cell carcinoma (ESCC) significantly improves survival rates, yet reliable biochemical biomarkers for early diagnosis remain limited. The aim of this study is to identify potential early diagnostic bi...
Evaluating anti-VEGF responses in diabetic macular edema: A systematic review with AI-powered treatment insights.
Indian journal of ophthalmology
May 28, 2025
Recent advances in deep learning and machine learning have greatly increased the capabilities of extracting features for evaluating the response to anti VEGF treatment in patients with Diabetic Macular Edema (DME). In this review, we explore how thes...
Detecting Tardive Dyskinesia Using Video-Based Artificial Intelligence.
The Journal of clinical psychiatry
May 28, 2025
Tardive dyskinesia (TD) is a late-onset adverse effect of dopamine receptor-blocking medications, characterized by involuntary movements primarily affecting the mouth, though other body parts may be involved. Severity of TD varies from mild to debil...
Personalized prediction of gait freezing using dynamic mode decomposition.
Scientific reports
May 28, 2025
Freezing of gait (FoG) is a common severe gait disorder in patients with advanced Parkinson's disease. The ability to predict the onset of FoG episodes early on allows for timely intervention, which is essential for improving the life quality of pati...
Improving ACS prediction in T2DM patients by addressing false records in electronic medical records using propensity score.
Scientific reports
May 28, 2025
Our study aims to improve the prediction performance of machine learning (ML) models by addressing false records (i.e., false positive, false negative, or missingness) in binary categorical variables in electronic medical records (EMRs) using propens...
MicroRNA signature predicts post operative atrial fibrillation after coronary artery bypass grafting.
Scientific reports
May 28, 2025
Early detection of atrial fibrillation (AFib) is crucial for altering its natural progression and complication profile. Traditional demographic and lifestyle factors often fail as predictors of AFib. This study investigated pre-operative, circulating...
C2 pars interarticularis length on the side of high-riding vertebral artery with implications for pars screw insertion.
Scientific reports
May 28, 2025
C2 pars interarticularis length (C2PIL) required for pars screws has not been thoroughly studied in subjects with high-riding vertebral artery (HRVA). We aimed to measure C2PIL specifically on the sides with HRVA, define short pars, optimal pars scre...
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