AIMC Topic: Predictive Value of Tests

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Investigation of Inter-Patient, Intra-Patient, and Patient-Specific Based Training in Deep Learning for Classification of Heartbeat Arrhythmia.

Cardiovascular engineering and technology Feb 26, 2025
Effective diagnosis of electrocardiogram (ECG) is one of the simplest and fastest ways to assess the heart's function. In the recent decade, various attempts have been made to automate the classification of electrocardiogram signals to detect heartbe...
Signal Processing, Computer-Assisted Arrhythmias, Cardiac Heart Rate Electrocardiography Action Potentials Predictive Value of Tests Humans Databases, Factual Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning
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Predictive utility of the machine learning algorithms in predicting tendinopathy: a meta-analysis of diagnostic test studies.

European journal of orthopaedic surgery & traumatology : orthopedie traumatologie Feb 22, 2025
BACKGROUND: Tendinopathy, a degenerative condition of tendon collagen protein, is a common sports injury among elite athletes. Despite its prevalence, the manifestation and progression of tendinopathy remain unclear, and the efficiency of diagnosis a...
Sensitivity and Specificity Predictive Value of Tests Tendinopathy Athletic Injuries Humans Machine Learning Algorithms
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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...
Models, Cardiovascular Coronary Stenosis Fractional Flow Reserve, Myocardial Coronary Vessels Machine Learning Hydrodynamics Predictive Value of Tests Humans Computed Tomography Angiography Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Coronary Artery Disease Severity of Illness Index
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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.
Predictive Value of Tests Urology Kidney Calculi Ureteroscopy Humans Software Tomography, X-Ray Computed Reproducibility of Results
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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...
Coronary Vessels Humans Ultrasonography, Interventional Middle Aged Machine Learning Stents Percutaneous Coronary Intervention Reproducibility of Results Severity of Illness Index Retrospective Studies Coronary Artery Disease Image Interpretation, Computer-Assisted Aged Treatment Outcome Prosthesis Design Female Observer Variation Predictive Value of Tests Male Automation
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Explainable paroxysmal atrial fibrillation diagnosis using an artificial intelligence-enabled electrocardiogram.

The Korean journal of internal medicine Feb 21, 2025
BACKGROUND/AIMS: Atrial fibrillation (AF) significantly contributes to global morbidity and mortality. Paroxysmal atrial fibrillation (PAF) is particularly common among patients with cryptogenic strokes or transient ischemic attacks and has a silent ...
Humans Male Middle Aged Deep Learning Electrocardiography Early Diagnosis Neural Networks, Computer Artificial Intelligence Action Potentials Female Predictive Value of Tests Aged Atrial Fibrillation
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Diastolic Versus Systolic or Mean Intraoperative Hypotension as Predictive of Perioperative Myocardial Injury in a White-Box Machine-Learning Model.

Anesthesia and analgesia Feb 20, 2025
BACKGROUND: Intraoperative hypotension (IOH) and tachycardia are associated with perioperative myocardial injury (PMI), and thereby increased postoperative mortality. Patients undergoing vascular surgery are specifically at risk of developing cardiac...
Middle Aged Monitoring, Intraoperative Predictive Value of Tests Blood Pressure Risk Factors Systole Aged Troponin T Humans Intraoperative Complications Male Machine Learning Hypotension Diastole Prospective Studies Heart Rate Tachycardia Female Arterial Pressure
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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 ...
Humans Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Neural Networks, Computer Reproducibility of Results Deep Learning Imaging, Three-Dimensional Coronary Vessels Plaque, Atherosclerotic Computed Tomography Angiography
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Optimized machine learning framework for cardiovascular disease diagnosis: a novel ethical perspective.

BMC cardiovascular disorders Feb 20, 2025
Alignment of advanced cutting-edge technologies such as Artificial Intelligence (AI) has emerged as a significant driving force to achieve greater precision and timeliness in identifying cardiovascular diseases (CVDs). However, it is difficult to ach...
Decision Trees Predictive Value of Tests Decision Support Techniques Reproducibility of Results Cardiovascular Diseases Diagnosis, Computer-Assisted Humans Machine Learning
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AI detectors are poor western blot classifiers: a study of accuracy and predictive values.

PeerJ Feb 20, 2025
The recent rise of generative artificial intelligence (AI) capable of creating scientific images presents a challenge in the fight against academic fraud. This study evaluates the efficacy of three free web-based AI detectors in identifying AI-genera...
Image Processing, Computer-Assisted Humans Predictive Value of Tests Artificial Intelligence Blotting, Western Sensitivity and Specificity
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