AIMC Topic: Predictive Value of Tests

Clear Filters Showing 331 to 340 of 2184 articles

Integrating Clinical Data and Radiomics and Deep Learning Features for End-to-End Delayed Cerebral Ischemia Prediction on Noncontrast CT.

AJNR. American journal of neuroradiology Sep 9, 2024
BACKGROUND AND PURPOSE: Delayed cerebral ischemia is hard to diagnose early due to gradual, symptomless development. This study aimed to develop an automated model for predicting delayed cerebral ischemia following aneurysmal SAH on NCCT.
Brain Ischemia Radiomics Male Middle Aged Deep Learning Predictive Value of Tests Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Adult
View on PubMed DOI

Association of N-terminal pro-B natriuretic peptide with all-cause mortality and cardiovascular mortality in obese and non-obese populations and the development of a machine learning prediction model: National Health and Nutrition Examination Survey (NHANES) 1999-2004.

Diabetes, obesity & metabolism Sep 6, 2024
AIMS: To explore the potential of N-terminal pro-B natriuretic peptide (NTproBNP) in identifying adverse outcomes, particularly cardiovascular adverse outcomes, in a population with obesity, and to establish a risk prediction model.
Natriuretic Peptide, Brain Proportional Hazards Models Humans Machine Learning United States Male Biomarkers Obesity Cardiovascular Diseases Female Predictive Value of Tests Middle Aged Aged Peptide Fragments Risk Assessment Adult Cause of Death Nutrition Surveys
View on PubMed DOI

Accelerated chemical shift encoded cardiovascular magnetic resonance imaging with use of a resolution enhancement network.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Sep 5, 2024
BACKGROUND: Cardiovascular magnetic resonance (CMR) chemical shift encoding (CSE) enables myocardial fat imaging. We sought to develop a deep learning network (fast chemical shift encoding [FastCSE]) to accelerate CSE.
Case-Control Studies Deep Learning Adipose Tissue Predictive Value of Tests Aged Humans Myocardium Heart Diseases Young Adult Prospective Studies Adult Retrospective Studies Male Female Middle Aged Reproducibility of Results Image Interpretation, Computer-Assisted Adiposity Magnetic Resonance Imaging, Cine
View on PubMed DOI

Predicting Mortality in Sepsis-Associated Acute Respiratory Distress Syndrome: A Machine Learning Approach Using the MIMIC-III Database.

Journal of intensive care medicine Sep 5, 2024
BackgroundTo develop and validate a mortality prediction model for patients with sepsis-associated Acute Respiratory Distress Syndrome (ARDS).MethodsThis retrospective cohort study included 2466 patients diagnosed with sepsis and ARDS within 24 h of ...
Respiratory Distress Syndrome Predictive Value of Tests Bayes Theorem Databases, Factual Retrospective Studies Humans Male Intensive Care Units Machine Learning Middle Aged Female Sepsis Aged Hospital Mortality ROC Curve Logistic Models
View on PubMed DOI

Long-term Major Adverse Cardiac Event Prediction by Computed Tomography-derived Plaque Measures and Clinical Parameters Using Machine Learning.

Internal medicine (Tokyo, Japan) Sep 4, 2024
Objective The present study evaluated the usefulness of machine learning (ML) models with the coronary computed tomography imaging and clinical parameters for predicting major adverse cardiac events (MACEs). Methods The Nationwide Gender-specific Ath...
Middle Aged Follow-Up Studies Predictive Value of Tests Coronary Artery Disease Plaque, Atherosclerotic Prospective Studies Tomography, X-Ray Computed Female Aged Male Humans Machine Learning
View on PubMed DOI

Classifying High-Risk Patients for Persistent Opioid Use After Major Spine Surgery: A Machine-Learning Approach.

Anesthesia and analgesia Sep 4, 2024
BACKGROUND: Persistent opioid use is a common occurrence after surgery and prolonged exposure to opioids may result in escalation and dependence. The objective of this study was to develop machine-learning-based predictive models for persistent opioi...
Adult Male Middle Aged Risk Assessment Time Factors Treatment Outcome Machine Learning Retrospective Studies Female Risk Factors Aged Humans Predictive Value of Tests Neural Networks, Computer Pain, Postoperative Spine Analgesics, Opioid Opioid-Related Disorders
View on PubMed DOI

Volume Measurements for Surveillance after Endovascular Aneurysm Repair using Artificial Intelligence.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Sep 3, 2024
OBJECTIVE: Surveillance after endovascular aneurysm repair (EVAR) is suboptimal due to limited compliance and relatively large variability in measurement methods of abdominal aortic aneurysm (AAA) sac size after treatment. Measuring volume offers a m...
Humans Artificial Intelligence Software Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Male Endovascular Procedures Treatment Outcome Computed Tomography Angiography Predictive Value of Tests Aortography Aortic Aneurysm, Abdominal Endovascular Aneurysm Repair Radiographic Image Interpretation, Computer-Assisted Blood Vessel Prosthesis Implantation
View on PubMed DOI

Fully automated epicardial adipose tissue volume quantification with deep learning and relationship with CAC score and micro/macrovascular complications in people living with type 2 diabetes: the multicenter EPIDIAB study.

Cardiovascular diabetology Sep 3, 2024
BACKGROUND: The aim of this study (EPIDIAB) was to assess the relationship between epicardial adipose tissue (EAT) and the micro and macrovascular complications (MVC) of type 2 diabetes (T2D).
Adipose Tissue Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Adiposity Male Middle Aged Risk Assessment Deep Learning Diabetes Mellitus, Type 2 Epicardial Adipose Tissue Automation Diabetic Angiopathies Vascular Calcification Computed Tomography Angiography Pericardium Humans Prognosis Female Reproducibility of Results Risk Factors Aged
View on PubMed DOI

Artificial Intelligence-Enhanced Risk Stratification of Cancer Therapeutics-Related Cardiac Dysfunction Using Electrocardiographic Images.

Circulation. Cardiovascular quality and outcomes Sep 2, 2024
BACKGROUND: Risk stratification strategies for cancer therapeutics-related cardiac dysfunction (CTRCD) rely on serial monitoring by specialized imaging, limiting their scalability. We aimed to examine an application of artificial intelligence (AI) to...
Humans Artificial Intelligence Retrospective Studies Female Risk Factors Predictive Value of Tests Ventricular Dysfunction, Left Trastuzumab Cardiotoxicity Anthracyclines Risk Assessment Antineoplastic Agents Time Factors United States Electrocardiography Aged Male Ventricular Function, Left Stroke Volume Middle Aged
View on PubMed DOI

An unsupervised learning model based on CT radiomics features accurately predicts axillary lymph node metastasis in breast cancer patients: diagnostic study.

International journal of surgery (London, England) Sep 1, 2024
BACKGROUND: The accuracy of traditional clinical methods for assessing the metastatic status of axillary lymph nodes (ALNs) is unsatisfactory. In this study, the authors propose the use of radiomic technology and three-dimensional (3D) visualization ...
Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Lymph Nodes Adult Lymphatic Metastasis Breast Neoplasms Lymph Node Excision Radiomics Axilla Middle Aged Unsupervised Machine Learning Imaging, Three-Dimensional Predictive Value of Tests
View on PubMed DOI
Popular Topics
Recent Journals