AIMC Topic: Sensitivity and Specificity
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Real-World evaluation of an AI triaging system for chest X-rays: A prospective clinical study.
European journal of radiology
Oct 10, 2024
Chest X-rays (CXRs) are crucial for diagnosing and managing lung conditions. While CXR is a common and cost-effective diagnostic tool, interpreting the high volume of CXRs is challenging due to workforce limitations. Artificial intelligence (AI) offe...
Optimizing Catheter Verification: An Understandable AI Model for Efficient Assessment of Central Venous Catheter Placement in Chest Radiography.
Investigative radiology
Oct 9, 2024
PURPOSE: Accurate detection of central venous catheter (CVC) misplacement is crucial for patient safety and effective treatment. Existing artificial intelligence (AI) often grapple with the limitations of label inaccuracies and output interpretations...
Implementation of an AI Algorithm in Clinical Practice to Reduce Missed Incidental Pulmonary Embolisms on Chest CT and Its Impact on Short-Term Survival.
Investigative radiology
Oct 9, 2024
OBJECTIVES: A substantial number of incidental pulmonary embolisms (iPEs) in computed tomography scans are missed by radiologists in their daily routine. This study analyzes the radiological reports of iPE cases before and after implementation of an ...
A systematic scoping review exploring variation in practice in specimen mammography for Intraoperative Margin Analysis in Breast Conserving Surgery and the role of artificial intelligence in optimising diagnostic accuracy.
European journal of radiology
Oct 9, 2024
PURPOSE: Specimen Mammography (SM) is commonly used in Breast Conserving Surgery (BCS) for intraoperative margin analysis. A systematic scoping review was conducted to identify sources of methodological variation in Specimen Mammography Interpretatio...
Improving the diagnostic strategy for thyroid nodules: a combination of artificial intelligence-based computer-aided diagnosis system and shear wave elastography.
Endocrine
Oct 7, 2024
PURPOSE: Thyroid nodules are highly prevalent in the general population, posing a clinical challenge in accurately distinguishing between benign and malignant cases. This study aimed to investigate the diagnostic performance of different strategies, ...
Revolutionizing LVH detection using artificial intelligence: the AI heartbeat project.
Journal of hypertension
Oct 7, 2024
Many studies have shown the utility and promise of artificial intelligence (AI), for the diagnosis of left ventricular hypertrophy (LVH). The aim of the present study was to conduct a meta-analysis to compare the accuracy of AI tools to electrocardio...
Machine learning based classification of spontaneous intracranial hemorrhages using radiomics features.
Neuroradiology
Oct 5, 2024
PURPOSE: To assess the efficacy of radiomics features extracted from non-contrast computed tomography (NCCT) scans in differentiating multiple etiologies of spontaneous intracerebral hemorrhage (ICH).
Coronary artery disease detection using deep learning and ultrahigh-resolution photon-counting coronary CT angiography.
Diagnostic and interventional imaging
Oct 4, 2024
PURPOSE: The purpose of this study was to evaluate the diagnostic performance of automated deep learning in the detection of coronary artery disease (CAD) on photon-counting coronary CT angiography (PC-CCTA).
Development and validation of a sepsis risk index supporting early identification of ICU-acquired sepsis: an observational study.
Anaesthesia, critical care & pain medicine
Oct 2, 2024
BACKGROUND: Sepsis is a threat to global health, and domestically is the major cause of in-hospital mortality. Due to increases in inpatient morbidity and mortality resulting from sepsis, healthcare providers (HCPs) would accrue significant benefits ...
Deep-Learning-Based Disease Classification in Patients Undergoing Cine Cardiac MRI.
Journal of magnetic resonance imaging : JMRI
Oct 1, 2024
BACKGROUND: Automated approaches may allow for fast, reproducible clinical assessment of cardiovascular diseases from MRI.
Adult
Sensitivity and Specificity
Male
Middle Aged
Retrospective Studies
Female
Reproducibility of Results
Aged
Image Interpretation, Computer-Assisted
Cardiomyopathy, Hypertrophic
Myocardial Ischemia
Humans
Magnetic Resonance Imaging, Cine
Algorithms
Cardiomyopathy, Dilated
Deep Learning
Image Processing, Computer-Assisted
Heart
Heart Ventricles
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