AIMC Topic: Predictive Value of Tests

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Comparative analysis of machine learning models for coronary artery disease prediction with optimized feature selection.

International journal of cardiology May 31, 2025
BACKGROUND: Coronary artery disease (CAD) is a major global cause of death, necessitating early, accurate prediction for better management. Traditional diagnostics are often invasive, costly, and less accessible. Machine learning (ML) offers a non-in...
Female Aged Male Middle Aged Predictive Value of Tests Humans Machine Learning Databases, Factual Coronary Artery Disease
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Inflammatory biomarkers as predictors for unlocking antidepressant efficacy: Assessing predictive value and risk stratification in major depressive disorder in a prospective longitudinal study.

Journal of affective disorders May 28, 2025
BACKGROUND: Major depressive disorder (MDD) is characterized by significant heterogeneity in treatment response, with inflammation hypothesized to play a role in its pathophysiology. Peripheral inflammatory biomarkers, such as the neutrophil-to-lymph...
Inflammation Treatment Outcome Neutrophils Longitudinal Studies Predictive Value of Tests Male Middle Aged Depressive Disorder, Major Adolescent Monocytes C-Reactive Protein Antidepressive Agents Humans Prospective Studies Biomarkers Female Young Adult Adult
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Two birds with one stone: pre-TAVI coronary CT angiography combined with FFR helps screen for coronary stenosis.

BMC medical imaging May 26, 2025
OBJECTIVES: Since coronary artery disease (CAD) is a common comorbidity in patients with aortic valve stenosis, invasive coronary angiography (ICA) can be avoided if significant CAD can be screened with the non-invasive coronary CT angiography (cCTA)...
Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Transcatheter Aortic Valve Replacement Male Humans Female Aortic Valve Stenosis Machine Learning Aged Predictive Value of Tests Retrospective Studies Aged, 80 and over Coronary Angiography Sensitivity and Specificity Coronary Artery Disease
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Association between atherogenicity indices and prediabetes: a 5-year retrospective cohort study in a general Chinese physical examination population.

Cardiovascular diabetology May 21, 2025
BACKGROUND AND OBJECTIVE: Atherogenicity indices have emerged as promising markers for cardiometabolic disorders, yet their relationship with prediabetes risk remains unclear. This study aimed to comprehensively evaluate the associations between six ...
Humans Biomarkers Time Factors Adult East Asian People Male Lipids Prognosis Middle Aged Predictive Value of Tests Retrospective Studies Risk Assessment Atherosclerosis Female China Dyslipidemias Risk Factors Prediabetic State Aged
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Developing cardiac digital twin populations powered by machine learning provides electrophysiological insights in conduction and repolarization.

Nature cardiovascular research May 16, 2025
Large-cohort imaging and diagnostic studies often assess cardiac function but overlook underlying biological mechanisms. Cardiac digital twins (CDTs) are personalized physics-constrained and physiology-constrained in silico representations, uncoverin...
Action Potentials Obesity Predictive Value of Tests Signal Processing, Computer-Assisted Heart Conduction System Heart Rate Sex Factors Myocardial Ischemia Phenotype Female Male Aged Middle Aged Adult Humans Electrocardiography Machine Learning Age Factors Magnetic Resonance Imaging
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The Role of Computed Tomography and Artificial Intelligence in Evaluating the Comorbidities of Chronic Obstructive Pulmonary Disease: A One-Stop CT Scanning for Lung Cancer Screening.

International journal of chronic obstructive pulmonary disease May 6, 2025
Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality worldwide. Comorbidities in patients with COPD significantly increase morbidity, mortality, and healthcare costs, posing a significant burden on the management o...
Early Detection of Cancer Risk Factors Humans Pulmonary Disease, Chronic Obstructive Predictive Value of Tests Artificial Intelligence Lung Prognosis Comorbidity Tomography, X-Ray Computed Lung Neoplasms
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Integrating SHAP analysis with machine learning to predict postpartum hemorrhage in vaginal births.

BMC pregnancy and childbirth May 3, 2025
OBJECTIVE: This study aimed to develop a machine learning (ML) model integrated with SHapley Additive exPlanations (SHAP) analysis to predict postpartum hemorrhage (PPH) following vaginal deliveries, offering a potential tool for personalized risk as...
Humans Machine Learning Retrospective Studies Pregnancy Female Adult Area Under Curve Risk Assessment Postpartum Hemorrhage China Delivery, Obstetric ROC Curve Predictive Value of Tests
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Deep learning based automated left atrial segmentation and flow quantification of real time phase contrast MRI in patients with atrial fibrillation.

The international journal of cardiovascular imaging Apr 29, 2025
Real time 2D phase contrast (RTPC) MRI is useful for flow quantification in atrial fibrillation (AF) patients, but data analysis requires time-consuming anatomical contouring for many cardiac time frames. Our goal was to develop a convolutional neura...
Magnetic Resonance Imaging Predictive Value of Tests Atrial Fibrillation Magnetic Resonance Imaging, Cine Heart Atria Aged Image Interpretation, Computer-Assisted Heart Rate Male Observer Variation Humans Middle Aged Automation Female Deep Learning Blood Flow Velocity Reproducibility of Results Time Factors Atrial Function, Left
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Artificial intelligence-assisted left ventricular global longitudinal strain assessment in patients with acute myocardial infarction: a RESUS-AMI trial sub-analysis.

The international journal of cardiovascular imaging Apr 29, 2025
PURPOSE: The aim of this sub-analysis of the RESUS-AMI trial was to evaluate the correlation of artificial intelligence (AI)-assisted echocardiographic global longitudinal strain (GLS) assessments with infarct size, left ventricular ejection fraction...
Aged Male Ventricular Function, Left Stroke Volume Echocardiography Humans Artificial Intelligence Female Reproducibility of Results Image Interpretation, Computer-Assisted Observer Variation Magnetic Resonance Imaging, Cine Myocardial Contraction Global Longitudinal Strain Middle Aged Treatment Outcome Predictive Value of Tests ST Elevation Myocardial Infarction Percutaneous Coronary Intervention
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A deep-learning algorithm using real-time collected intraoperative vital sign signals for predicting acute kidney injury after major non-cardiac surgeries: A modelling study.

PLoS medicine Apr 29, 2025
BACKGROUND: Postoperative acute kidney injury (PO-AKI) prediction models for non-cardiac major surgeries typically rely solely on preoperative clinical characteristics.
Humans Female Algorithms Risk Assessment Risk Factors Postoperative Complications Acute Kidney Injury Aged Deep Learning Male Predictive Value of Tests Middle Aged Vital Signs
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