AIMC Topic: Reproducibility of Results

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Optimising coronary imaging decisions with machine learning: an external validation study.

Open heart Apr 24, 2025
BACKGROUND: Exclusion of coronary stenosis in individuals with suggestive symptoms is challenging. Cardiac CT or coronary angiography is often used but is inefficient and costly and involves risks. Sex-stratified algorithms based on electronic health...
Coronary Artery Disease Coronary Stenosis Male Humans Electronic Health Records Netherlands Middle Aged Machine Learning Sex Factors Predictive Value of Tests Female Coronary Vessels Algorithms Coronary Angiography Reproducibility of Results Computed Tomography Angiography Retrospective Studies Aged
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Identifying disease progression biomarkers in metabolic associated steatotic liver disease (MASLD) through weighted gene co-expression network analysis and machine learning.

Journal of translational medicine Apr 24, 2025
BACKGROUND: Metabolic Associated Steatotic Liver Disease (MASLD), encompassing conditions simple liver steatosis (MAFL) and metabolic associated steatohepatitis (MASH), is the most prevalent chronic liver disease. Currently, the management of MASLD i...
Protein Interaction Maps Gene Regulatory Networks Fatty Liver Nomograms Gene Expression Regulation Gene Ontology Animals Disease Progression Gene Expression Profiling ROC Curve Humans Machine Learning Biomarkers Reproducibility of Results
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Development and validation of an interpretable machine learning model for diagnosing pathologic complete response in breast cancer.

Computer methods and programs in biomedicine Apr 23, 2025
BACKGROUND: Pathologic complete response (pCR) following neoadjuvant chemotherapy (NACT) is a critical prognostic marker for patients with breast cancer, potentially allowing surgery omission. However, noninvasive and accurate pCR diagnosis remains a...
ROC Curve Algorithms Humans Neoadjuvant Therapy Female Machine Learning Magnetic Resonance Imaging Reproducibility of Results Pathologic Complete Response Breast Neoplasms Middle Aged
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Deep learning-based post hoc denoising for 3D volume-rendered cardiac CT in mitral valve prolapse.

The international journal of cardiovascular imaging Apr 23, 2025
We hypothesized that deep learning-based post hoc denoising could improve the quality of cardiac CT for the 3D volume-rendered (VR) imaging of mitral valve (MV) prolapse. We aimed to evaluate the quality of denoised 3D VR images for visualizing MV pr...
Male Middle Aged Deep Learning Imaging, Three-Dimensional Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Mitral Valve Mitral Valve Prolapse Tomography, X-Ray Computed Female Reproducibility of Results Aged Humans Retrospective Studies
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Comparison of machine learning models with conventional statistical methods for prediction of percutaneous coronary intervention outcomes: a systematic review and meta-analysis.

BMC cardiovascular disorders Apr 23, 2025
INTRODUCTION: Percutaneous coronary intervention (PCI) has been the main treatment of coronary artery disease (CAD). In this review, we aimed to compare the performance of machine learning (ML) vs. logistic regression (LR) models in predicting differ...
Humans Predictive Value of Tests Percutaneous Coronary Intervention Machine Learning Male Coronary Artery Disease Female Decision Support Techniques Middle Aged Reproducibility of Results Risk Assessment Risk Factors Time Factors Aged Treatment Outcome
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Plaque burden improves the detection of ischemic CAD over stenosis from coronary computed tomography angiography.

The international journal of cardiovascular imaging Apr 22, 2025
In symptomatic patients undergoing coronary CTA for suspected coronary artery disease (CAD), we assessed if quantification of plaque burden, in addition to luminal narrowing and clinical risk factors, offers incremental value for the identification o...
Risk Factors Aged Male Middle Aged Severity of Illness Index Artificial Intelligence Retrospective Studies Female Reproducibility of Results Coronary Vessels Multidetector Computed Tomography Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Humans Myocardial Perfusion Imaging Coronary Stenosis
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Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes.

Medical image analysis Apr 20, 2025
Simulation-Based Inference (SBI) has recently emerged as a powerful framework for Bayesian inference: Neural networks are trained on simulations from a forward model, and learn to rapidly estimate posterior distributions. We here present an SBI frame...
Monte Carlo Method White Matter Diffusion Tensor Imaging Uncertainty Diffusion Magnetic Resonance Imaging Reproducibility of Results Bayes Theorem Markov Chains Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms Brain Computer Simulation
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Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy.

Scientific reports Apr 18, 2025
This primary research paper emphasizes cross-validation, where data samples are reshuffled in each iteration to form randomized subsets divided into n folds. This method improves model performance and achieves higher accuracy than the baseline model....
Random Forest Heart Diseases Humans Machine Learning Algorithms Reproducibility of Results Logistic Models Support Vector Machine
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Development and Validation an AI Model to Improve the Diagnosis of Deep Infiltrating Endometriosis for Junior Sonologists.

Ultrasound in medicine & biology Apr 17, 2025
OBJECTIVE: This study aims to develop and validate an artificial intelligence (AI) model based on ultrasound (US) videos and images to improve the performance of junior sonologists in detecting deep infiltrating endometriosis (DE).
Reproducibility of Results Adult Clinical Competence Humans Ultrasonography Artificial Intelligence Endometriosis Retrospective Studies Female
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Deep Learning-Driven Abbreviated Shoulder MRI Protocols: Diagnostic Accuracy in Clinical Practice.

Tomography (Ann Arbor, Mich.) Apr 17, 2025
BACKGROUND: Deep learning (DL) reconstruction techniques have shown promise in reducing MRI acquisition times while maintaining image quality. However, the impact of different acceleration factors on diagnostic accuracy in shoulder MRI remains unexpl...
Reproducibility of Results Image Interpretation, Computer-Assisted Aged Middle Aged Observer Variation Adult Humans Shoulder Deep Learning Sensitivity and Specificity Prospective Studies Magnetic Resonance Imaging Edema Male Female Rotator Cuff Injuries Shoulder Joint
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