AIMC Topic: Reproducibility of Results

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A systematic review of machine learning-based prognostic models for acute pancreatitis: Towards improving methods and reporting quality.

PLoS medicine Feb 24, 2025
BACKGROUND: An accurate prognostic tool is essential to aid clinical decision-making (e.g., patient triage) and to advance personalized medicine. However, such a prognostic tool is lacking for acute pancreatitis (AP). Increasingly machine learning (M...
Prognosis Reproducibility of Results Acute Disease Humans Pancreatitis Machine Learning
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MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging.

Medical image analysis Feb 22, 2025
Accurate staging of liver fibrosis from magnetic resonance imaging (MRI) is crucial in clinical practice. While conventional methods often focus on a specific sub-region, multi-view learning captures more information by analyzing multiple patches sim...
Image Interpretation, Computer-Assisted Reproducibility of Results Liver Cirrhosis Magnetic Resonance Imaging Humans Machine Learning
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Machine learning and computational fluid dynamics derived FFRCT demonstrate comparable diagnostic performance in patients with coronary artery disease; A Systematic Review and Meta-Analysis.

Journal of cardiovascular computed tomography Feb 22, 2025
BACKGROUND: As a new noninvasive diagnostic technique, computed tomography-derived fraction flow reserve (FFRCT) has been used to identify hemodynamically significant coronary artery stenosis. FFRCT can be calculated using computational fluid dynamic...
Computed Tomography Angiography Models, Cardiovascular Coronary Stenosis Fractional Flow Reserve, Myocardial Coronary Artery Disease Coronary Vessels Reproducibility of Results Hydrodynamics Severity of Illness Index Coronary Angiography Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning
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Measuring kidney stone volume - practical considerations and current evidence from the EAU endourology section.

Current opinion in urology Feb 21, 2025
PURPOSE OF REVIEW: This narrative review provides an overview of the use, differences, and clinical impact of current methods for kidney stone volume assessment.
Humans Software Urology Kidney Calculi Ureteroscopy Tomography, X-Ray Computed Reproducibility of Results Predictive Value of Tests
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Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare.

International journal of medical informatics Feb 21, 2025
BACKGROUND: The increasing use of Deep Learning (DL) in healthcare has highlighted the critical need for improved transparency and interpretability. While Explainable Artificial Intelligence (XAI) methods provide insights into model predictions, reli...
Uncertainty Humans Artificial Intelligence Delivery of Health Care Reproducibility of Results Deep Learning
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Machine Learning in Intravascular Ultrasound: Validating Automated Lesion Assessment for Complex Coronary Interventions.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Feb 21, 2025
BACKGROUND: Intravascular ultrasound (IVUS) is essential for assessing complex coronary lesions, but remains underutilized in part due to difficulties in image interpretation. The AVVIGO IVUS Automated Lesion Assessment (ALA) software, which uses mac...
Prosthesis Design Stents Image Interpretation, Computer-Assisted Ultrasonography, Interventional Percutaneous Coronary Intervention Coronary Artery Disease Observer Variation Automation Coronary Vessels Aged Male Middle Aged Severity of Illness Index Treatment Outcome Predictive Value of Tests Retrospective Studies Female Reproducibility of Results Humans Machine Learning
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Externally validated and clinically useful machine learning algorithms to support patient-related decision-making in oncology: a scoping review.

BMC medical research methodology Feb 21, 2025
BACKGROUND: This scoping review systematically maps externally validated machine learning (ML)-based models in cancer patient care, quantifying their performance, and clinical utility, and examining relationships between models, cancer types, and cli...
Algorithms Neoplasms Humans Clinical Decision-Making Machine Learning Decision Making Reproducibility of Results Medical Oncology
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Automated Coronary Artery Segmentation with 3D PSPNET using Global Processing and Patch Based Methods on CCTA Images.

Cardiovascular engineering and technology Feb 20, 2025
The prevalence of coronary artery disease (CAD) has become the major cause of death across the world in recent years. The accurate segmentation of coronary artery is important in clinical diagnosis and treatment of coronary artery disease (CAD) such ...
Computed Tomography Angiography Coronary Artery Disease Coronary Vessels Plaque, Atherosclerotic Reproducibility of Results Deep Learning Imaging, Three-Dimensional Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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Diagnostic Accuracy of IDX-DR for Detecting Diabetic Retinopathy: A Systematic Review and Meta-Analysis.

American journal of ophthalmology Feb 20, 2025
PURPOSE: Diabetic retinopathy (DR) is a leading cause of vision loss worldwide, making early detection critical to prevent blindness. IDX-DR, an FDA-approved autonomous artificial intelligence (AI) system, has emerged as an innovative solution to imp...
Humans Diabetic Retinopathy ROC Curve Artificial Intelligence Reproducibility of Results Sensitivity and Specificity
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Exploring the capabilities of GenAI for oral cancer consultations in remote consultations : Author.

BMC oral health Feb 20, 2025
BACKGROUND: Generative artificial intelligence (GenAI) has demonstrated potential in remote consultations, yet its capacity to comprehend oral cancer has not yet been fully evaluated. The objective of this study was to evaluate the accuracy, reliabil...
Humans Artificial Intelligence Reproducibility of Results Remote Consultation China Mouth Neoplasms
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