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Predictive Value of Tests

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Assessment of atherosclerotic plaque burden: comparison of AI-QCT versus SIS, CAC, visual and CAD-RADS stenosis categories.

The international journal of cardiovascular imaging Apr 17, 2024
This study assesses the agreement of Artificial Intelligence-Quantitative Computed Tomography (AI-QCT) with qualitative approaches to atherosclerotic disease burden codified in the multisociety 2022 CAD-RADS 2.0 Expert Consensus. 105 patients who und...
Humans Artificial Intelligence Female Coronary Stenosis Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography Coronary Vessels Radiographic Image Interpretation, Computer-Assisted Multidetector Computed Tomography Coronary Artery Disease Plaque, Atherosclerotic Observer Variation Vascular Calcification Computed Tomography Angiography
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Radiomics-based detection of acute myocardial infarction on noncontrast enhanced midventricular short-axis cine CMR images.

The international journal of cardiovascular imaging Apr 17, 2024
Cardiac magnetic resonance cine images are primarily used to evaluate functional consequences, whereas limited information is extracted from the noncontrast pixel-wise myocardial signal intensity pattern. In this study we want to assess whether chara...
Image Interpretation, Computer-Assisted Humans Magnetic Resonance Imaging, Cine Retrospective Studies Female Reproducibility of Results Middle Aged Aged Case-Control Studies Adult Support Vector Machine Radiomics Predictive Value of Tests Male Myocardial Infarction Ventricular Function, Left
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Predictive value of a stemness-based classifier for prognosis and immunotherapy response of hepatocellular carcinoma based on bioinformatics and machine-learning strategies.

Frontiers in immunology Apr 17, 2024
OBJECTIVE: Significant advancements have been made in hepatocellular carcinoma (HCC) therapeutics, such as immunotherapy for treating patients with HCC. However, there is a lack of reliable biomarkers for predicting the response of patients to therap...
Carcinoma, Hepatocellular Computational Biology Immunotherapy Gene Expression Regulation, Neoplastic Neoplastic Stem Cells Biomarkers, Tumor Predictive Value of Tests Male Middle Aged Humans Gene Expression Profiling Machine Learning Liver Neoplasms Prognosis Female Tumor Microenvironment
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Artificial Intelligence With Deep Learning Enables Assessment of Aortic Aneurysm Diameter and Volume Through Different Computed Tomography Phases.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Apr 16, 2024
Deep Learning Predictive Value of Tests Aortic Aneurysm, Abdominal Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Humans Artificial Intelligence Tomography, X-Ray Computed Aged Male Aortic Aneurysm
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Differentiating ischemic stroke patients from healthy subjects using a large-scale, retrospective EEG database and machine learning methods.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Apr 16, 2024
OBJECTIVES: We set out to develop a machine learning model capable of distinguishing patients presenting with ischemic stroke from a healthy cohort of subjects. The model relies on a 3-min resting electroencephalogram (EEG) recording from which featu...
Signal Processing, Computer-Assisted Brain Waves Time Factors Diagnosis, Differential Predictive Value of Tests Ischemic Stroke Electroencephalography Adult Retrospective Studies Male Humans Female Middle Aged Machine Learning Reproducibility of Results Case-Control Studies Databases, Factual Aged Diagnosis, Computer-Assisted Brain Aged, 80 and over
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The value of CT radiomics combined with deep transfer learning in predicting the nature of gallbladder polypoid lesions.

Acta radiologica (Stockholm, Sweden : 1987) Apr 16, 2024
BACKGROUND: Computed tomography (CT) radiomics combined with deep transfer learning was used to identify cholesterol and adenomatous gallbladder polyps that have not been well evaluated before surgery.
Gallbladder Cholesterol Gallbladder Diseases Gallbladder Neoplasms Polyps Adenomatous Polyps Tomography, X-Ray Computed Female Aged Adult Radiomics Male Middle Aged Deep Learning Contrast Media Predictive Value of Tests Humans Machine Learning Retrospective Studies
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An Automated Multi-scale Feature Fusion Network for Spine Fracture Segmentation Using Computed Tomography Images.

Journal of imaging informatics in medicine Apr 15, 2024
Spine fractures represent a critical health concern with far-reaching implications for patient care and clinical decision-making. Accurate segmentation of spine fractures from medical images is a crucial task due to its location, shape, type, and sev...
Neural Networks, Computer Tomography, X-Ray Computed Female Reproducibility of Results Middle Aged Deep Learning Predictive Value of Tests Spine Image Interpretation, Computer-Assisted Aged Aged, 80 and over Young Adult Adult Male Datasets as Topic Spinal Fractures
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Deep learning-based radiomics of computed tomography angiography to predict adverse events after initial endovascular repair for acute uncomplicated Stanford type B aortic dissection.

European journal of radiology Apr 15, 2024
PURPOSE: This study aimed to construct a predictive model integrating deep learning-derived radiomic features from computed tomography angiography (CTA) and clinical biomarkers to forecast postoperative adverse events (AEs) in patients with acute unc...
Predictive Value of Tests Acute Disease Aortic Dissection Aortic Aneurysm, Thoracic Endovascular Procedures Radiomics Male Middle Aged Humans Postoperative Complications Retrospective Studies Deep Learning Female Computed Tomography Angiography Aged
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A multimodal approach using fundus images and text meta-data in a machine learning classifier with embeddings to predict years with self-reported diabetes - An exploratory analysis.

Primary care diabetes Apr 14, 2024
AIMS: Machine learning models can use image and text data to predict the number of years since diabetes diagnosis; such model can be applied to new patients to predict, approximately, how long the new patient may have lived with diabetes unknowingly....
Male Databases, Factual Humans Predictive Value of Tests Middle Aged Female Brazil Diabetic Retinopathy Reproducibility of Results Fundus Oculi Time Factors Machine Learning Aged Self Report Diabetes Mellitus Adult Data Mining Image Interpretation, Computer-Assisted
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Advanced cardiac imaging, machine learning, and heart age for cardiovascular risk stratification.

The international journal of cardiovascular imaging Apr 13, 2024
Cardiovascular Diseases Risk Assessment Age Factors Predictive Value of Tests Heart Disease Risk Factors Cardiac Imaging Techniques Humans Machine Learning Prognosis Risk Factors
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