AIMC Topic: Predictive Value of Tests

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Phase-contrast magnetic resonance imaging-based predictive modelling for surgical outcomes in patients with Chiari malformation type 1 with syringomyelia: a machine learning study.

Clinical radiology Jan 29, 2025
AIM: Prospective outcome prediction plays a crucial role in guiding preoperative decision-making in patients with Chiari malformation type I (CM-Ⅰ) with syringomyelia. Here, we aimed to develop a predictive model for postoperative outcomes in patient...
Magnetic Resonance Imaging Predictive Value of Tests Decompression, Surgical Arnold-Chiari Malformation Syringomyelia Young Adult Adult Male Middle Aged Treatment Outcome Humans Machine Learning Retrospective Studies Female
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Enhancing quantitative coronary angiography (QCA) with advanced artificial intelligence: comparison with manual QCA and visual estimation.

The international journal of cardiovascular imaging Jan 29, 2025
Artificial intelligence-based quantitative coronary angiography (AI-QCA) was introduced to address manual QCA's limitations in reproducibility and correction process. The present study aimed to assess the performance of an updated AI-QCA solution (MP...
Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Coronary Stenosis Artificial Intelligence Humans Male Retrospective Studies Middle Aged Female Severity of Illness Index Reproducibility of Results Predictive Value of Tests Aged Coronary Angiography
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The triglyceride-glucose index and its obesity-related derivatives as predictors of all-cause and cardiovascular mortality in hypertensive patients: insights from NHANES data with machine learning analysis.

Cardiovascular diabetology Jan 29, 2025
BACKGROUND: Hypertension (HTN) is a global public health concern and a major risk factor for cardiovascular disease (CVD) and mortality. Insulin resistance (IR) plays a crucial role in HTN-related metabolic dysfunction, but its assessment remains cha...
Triglycerides Hypertension Obesity Predictive Value of Tests Cause of Death Waist Circumference Blood Glucose Insulin Resistance Nutrition Surveys Adult United States Humans Cross-Sectional Studies Machine Learning Male Middle Aged Risk Assessment Biomarkers Prognosis Female Risk Factors Aged
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Clinical Validation of an AI System for Pneumoconiosis Detection Using Chest X-rays.

Journal of occupational and environmental medicine Jan 28, 2025
OBJECTIVE: The aims of the study were to develop and evaluate "eTóraxLaboral," an intelligent platform for detecting signs of pneumoconiosis in chest radiographs and to assess its predictive capacity.
Pneumoconiosis Predictive Value of Tests Radiography, Thoracic Adult Sensitivity and Specificity Male Middle Aged ROC Curve Humans Artificial Intelligence Retrospective Studies Female Aged
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F-FDG PET/CT radiomic analysis and artificial intelligence to predict pathological complete response after neoadjuvant chemotherapy in breast cancer patients.

La Radiologia medica Jan 28, 2025
PURPOSE: Build machine learning (ML) models able to predict pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer (BC) patients based on conventional and radiomic signatures extracted from baseline [F]FDG PET/CT.
Humans Artificial Intelligence Machine Learning Retrospective Studies Female Positron Emission Tomography Computed Tomography Aged Radiopharmaceuticals Middle Aged Adult Fluorodeoxyglucose F18 Breast Neoplasms Treatment Outcome Chemotherapy, Adjuvant Neoadjuvant Therapy Radiomics Lymphatic Metastasis Predictive Value of Tests
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An Artificial Intelligence Model Using Diffusion Basis Spectrum Imaging Metrics Accurately Predicts Clinically Significant Prostate Cancer.

The Journal of urology Jan 27, 2025
PURPOSE: Conventional prostate magnetic resonance imaging has limited accuracy for clinically significant prostate cancer (csPCa). We performed diffusion basis spectrum imaging (DBSI) before biopsy and applied artificial intelligence models to these ...
Middle Aged Predictive Value of Tests Prostatic Neoplasms Neoplasm Grading Prostate Diffusion Magnetic Resonance Imaging Humans Artificial Intelligence Retrospective Studies Aged Male
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Automated AI-based image analysis for quantification and prediction of interstitial lung disease in systemic sclerosis patients.

Respiratory research Jan 24, 2025
BACKGROUND: Systemic sclerosis (SSc) is a rare connective tissue disease associated with rapidly evolving interstitial lung disease (ILD), driving its mortality. Specific imaging-based biomarkers associated with the evolution of lung disease are need...
Lung Cohort Studies Predictive Value of Tests Lung Diseases, Interstitial Respiratory Function Tests Female Aged Adult Male Middle Aged Scleroderma, Systemic Humans Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed
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Prognosis modelling of adverse events for post-PCI treated AMI patients based on inflammation and nutrition indexes.

BMC cardiovascular disorders Jan 23, 2025
OBJECTIVE: This study aimed to evaluate the predictive performance of inflammatory and nutritional indices for adverse cardiovascular events (ACE) in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI) using...
Biomarkers Female Risk Factors Aged Male Humans Neural Networks, Computer Machine Learning Decision Support Techniques Inflammation Mediators Nutritional Status Treatment Outcome Decision Trees Predictive Value of Tests Middle Aged Percutaneous Coronary Intervention Nutrition Assessment Myocardial Infarction Risk Assessment Inflammation
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Results comparison of cervical cancer early detection using cerviray ® with VIA test.

BMC research notes Jan 22, 2025
OBJECTIVES: This study investigates the performance of artificial intelligence (AI) technology, namely Cerviray AI, compared with Cerviray expert, aiming to compare its sensitivity, specificity, positive predictive value (PPV), and area under the rec...
ROC Curve Early Detection of Cancer Predictive Value of Tests Area Under Curve Acetic Acid Humans Artificial Intelligence Female Young Adult Adult Sensitivity and Specificity Uterine Cervical Neoplasms Middle Aged
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Multimodal multiview bilinear graph convolutional network for mild cognitive impairment diagnosis.

Biomedical physics & engineering express Jan 22, 2025
Mild cognitive impairment (MCI) is a significant predictor of the early progression of Alzheimer's disease (AD) and can serve as an important indicator of disease progression. However, many existing methods focus mainly on the image when processing b...
Humans Neural Networks, Computer Cognitive Dysfunction Genetic Predisposition to Disease Magnetic Resonance Imaging Spatial Analysis Neuroimaging Predictive Value of Tests Gray Matter White Matter Cerebrospinal Fluid Prediction Methods, Machine Genetic Testing Alzheimer Disease Datasets as Topic
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