AIMC Topic: Predictive Value of Tests

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Detection of pathologic complete response using deep neural network-based endoscopic evaluation in patients with esophageal cancer receiving neoadjuvant chemotherapy: a nationwide multicenter retrospective study from 46 Japanese esophageal centers.

Esophagus : official journal of the Japan Esophageal Society Apr 28, 2025
BACKGROUND: Detecting pathological complete response (pCR) preoperatively facilitated a non-surgical approach after neoadjuvant chemotherapy (NAC). We previously developed a deep neural network-based endoscopic evaluation to determine pCR preoperativ...
Female Aged Sensitivity and Specificity Male Middle Aged Humans Neural Networks, Computer Retrospective Studies Japan Esophageal Squamous Cell Carcinoma Chemotherapy, Adjuvant Esophagoscopy Pathologic Complete Response Deep Learning Treatment Outcome Neoadjuvant Therapy Predictive Value of Tests Esophageal Neoplasms
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Research on noninvasive electrophysiologic imaging based on cardiac electrophysiology simulation and deep learning methods for the inverse problem.

BMC cardiovascular disorders Apr 28, 2025
BACKGROUND: The risk stratification and prognosis of cardiac arrhythmia depend on the individual condition of patients, while invasive diagnostic methods may be risky to patient health, and current non-invasive diagnostic methods are applicable to fe...
Electrophysiologic Techniques, Cardiac Predictive Value of Tests Humans Computer Simulation Arrhythmias, Cardiac Neural Networks, Computer Heart Rate Models, Cardiovascular Reproducibility of Results Body Surface Potential Mapping Deep Learning Electrocardiography Action Potentials
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Fast and automatic coronary artery segmentation using nnU-Net for non-contrast enhanced magnetic resonance coronary angiography.

The international journal of cardiovascular imaging Apr 26, 2025
Non-contrast enhanced magnetic resonance coronary angiography (MRCA) is a promising coronary heart disease screening modality. However, its clinical application is hindered by inherent limitations, including low spatial resolution and insufficient co...
Computed Tomography Angiography Image Interpretation, Computer-Assisted Observer Variation Automation Humans Coronary Vessels Female Magnetic Resonance Angiography Deep Learning Reproducibility of Results Time Factors Aged Predictive Value of Tests Male Coronary Angiography Middle Aged Coronary Artery Disease
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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...
Sex Factors Humans Coronary Vessels Machine Learning Computed Tomography Angiography Middle Aged Algorithms Coronary Stenosis Predictive Value of Tests Retrospective Studies Coronary Angiography Coronary Artery Disease Electronic Health Records Netherlands Female Reproducibility of Results Aged Male
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Predicting isolated impaired glucose tolerance without oral glucose tolerance test using machine learning in Chinese Han men.

Frontiers in endocrinology Apr 24, 2025
BACKGROUND: Isolated Impaired Glucose Tolerance (I-IGT) represents a specific prediabetic state that typically requires a standardized oral glucose tolerance test (OGTT) for diagnosis. This study aims to predict glucose tolerance status in Chinese Ha...
Asian People Glucose Tolerance Test Glucose Intolerance Humans Middle Aged China Machine Learning Blood Glucose Aged East Asian People Aged, 80 and over Predictive Value of Tests Male
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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...
Imaging, Three-Dimensional Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Mitral Valve Mitral Valve Prolapse Humans Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Aged Male Middle Aged Deep Learning
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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...
Aged Male Middle Aged Risk Assessment Time Factors Treatment Outcome Predictive Value of Tests Percutaneous Coronary Intervention Coronary Artery Disease Machine Learning Decision Support Techniques Female Humans Reproducibility of Results Risk Factors
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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...
Humans Artificial Intelligence Retrospective Studies Female Reproducibility of Results Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Risk Factors Aged Male Middle Aged Severity of Illness Index Coronary Stenosis Multidetector Computed Tomography Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Myocardial Perfusion Imaging
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Combining Ultrasound Imaging and Molecular Testing in a Multimodal Deep Learning Model for Risk Stratification of Indeterminate Thyroid Nodules.

Thyroid : official journal of the American Thyroid Association Apr 21, 2025
Indeterminate cytology (Bethesda III and IV) represents 15-30% of biopsied thyroid nodules and require additional diagnostic testing. Molecular testing (MT) is a commonly used diagnostic tool that evaluatesmalignancy risk through next generation seq...
Humans Ultrasonography Thyroid Nodule Predictive Value of Tests Biopsy, Fine-Needle Male Middle Aged Risk Assessment Deep Learning Retrospective Studies Thyroid Neoplasms Female Aged Adult Sensitivity and Specificity
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Prediction of early recurrence in primary central nervous system lymphoma based on multimodal MRI-based radiomics: A preliminary study.

European journal of radiology Apr 18, 2025
OBJECTIVES: To evaluate the role of multimodal magnetic resonance imaging radiomics features in predicting early recurrence of primary central nervous system lymphoma (PCNSL) and to investigate their correlation with patient prognosis.
Methotrexate Central Nervous System Neoplasms Aged Adult Radiomics Male Middle Aged Humans Lymphoma Prognosis Magnetic Resonance Imaging Retrospective Studies Multimodal Imaging Female Predictive Value of Tests Neoplasm Recurrence, Local
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