AIMC Topic: Predictive Value of Tests
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Stroke prediction in elderly patients with atrial fibrillation using machine learning combined clinical and left atrial appendage imaging phenotypic features.
BMC cardiovascular disorders
May 24, 2025
BACKGROUND: Atrial fibrillation (AF) is one of the primary etiologies for ischemic stroke, and it is of paramount importance to delineate the risk phenotypes among elderly AF patients and to investigate more efficacious models for predicting stroke r...
Humans
Machine Learning
Decision Support Techniques
Risk Factors
Aged
Aged, 80 and over
Male
Risk Assessment
Phenotype
Prospective Studies
Prognosis
Female
Ischemic Stroke
Stroke
Atrial Fibrillation
Computed Tomography Angiography
Atrial Appendage
Incidence
Support Vector Machine
Age Factors
Predictive Value of Tests
Noninvasive prediction of failure of the conservative treatment in lateral epicondylitis by clinicoradiological features and elbow MRI radiomics based on interpretable machine learning: a multicenter cohort study.
Journal of orthopaedic surgery and research
May 24, 2025
OBJECTIVES: To develop and validate an interpretable machine learning model based on clinicoradiological features and radiomic features based on magnetic resonance imaging (MRI) to predict the failure of conservative treatment in lateral epicondyliti...
Diagnostic accuracy of artificial intelligence-based multi-spectrum analysis for molecular fingerprint detection of SARS-CoV-2.
Medicine
May 23, 2025
Reverse transcription-polymerase chain reaction (RT-PCR) is the reference standard for COVID-19 diagnosis, but the need for rapid, reproducible, and cost-effective diagnostic tools remains. This study investigated the diagnostic performance of a nove...
Predictive value of machine learning for PD-L1 expression in NSCLC: a systematic review and meta-analysis.
World journal of surgical oncology
May 22, 2025
BACKGROUND: As machine learning (ML) continuously develops in cancer diagnosis and treatment, some researchers have attempted to predict the expression of programmed death ligand-1 (PD-L1) in non-small cell lung cancer (NSCLC) by ML. However, there i...
Diagnostic value of small dense low-density lipoprotein and trace elements in coronary artery disease.
Annales de biologie clinique
May 22, 2025
Coronary artery disease (CAD) is a worldwide leading cause of death. Considering that 20%-40% of patients with CAD have a long asymptomatic period of atherosclerosis, it has become urgent to explore the feasibility of diagnosing CAD at an early stage...
Serum calcium-based interpretable machine learning model for predicting anastomotic leakage after rectal cancer resection: A multi-center study.
World journal of gastroenterology
May 21, 2025
BACKGROUND: Despite the promising prospects of utilizing artificial intelligence and machine learning (ML) for comprehensive disease analysis, few models constructed have been applied in clinical practice due to their complexity and the lack of reaso...
Early prediction of bone destruction in rheumatoid arthritis through machine learning analysis of plasma metabolites.
Arthritis research & therapy
May 21, 2025
BACKGROUND: To develop a predictive model for bone destruction in patients with rheumatoid arthritis (RA), based on the characteristics of plasma metabolites and common clinical indicators.
Optimized deep residual networks for early detection of myocardial infarction from ECG signals.
BMC cardiovascular disorders
May 17, 2025
Globally, the high number of deaths are happening due to Myocardial infarction (MI). MI is considered as a life-threatening disease, which leads to an increase number of deaths or damage to the heart, and hence, prompt detection of MI is critical to ...
A validated multivariable machine learning model to predict cardio-kidney risk in diabetic kidney disease.
Cardiovascular diabetology
May 15, 2025
BACKGROUND: Individuals with diabetic kidney disease (DKD) often suffer cardiac and kidney events. We sought to develop an accurate means by which to stratify risk in DKD.
Risk Factors
Aged
Male
Cardiovascular Diseases
Middle Aged
Biomarkers
Humans
Prognosis
Machine Learning
Heart Diseases
Female
Decision Support Techniques
Risk Assessment
Heart Disease Risk Factors
Time Factors
Reproducibility of Results
Sodium-Glucose Transporter 2 Inhibitors
Diabetic Nephropathies
Predictive Value of Tests
Identifying Mild-to-Moderate Atopic Dermatitis Using a Generic Machine Learning Approach: A Danish National Health Register Study.
Acta dermato-venereologica
May 13, 2025
Atopic dermatitis is a chronic skin disease, causing itching and recurrent eczematous lesions. In Danish national register data, adults with atopic dermatitis can only be identified if they have a hospital-diagnosed atopic dermatitis. The purpose of ...
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