AIMC Topic: Predictive Value of Tests
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Evaluating retinal blood vessels for predicting white matter hyperintensities in ischemic stroke: A deep learning approach.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Oct 10, 2024
OBJECTIVE: This study aims to investigate whether a deep learning approach incorporating retinal blood vessels can effectively identify ischemic stroke patients with a high burden of White Matter Hyperintensities (WMH) using Nuclear Magnetic Resonanc...
White Matter
Retinal Vessels
Leukoencephalopathies
Humans
Deep Learning
Retrospective Studies
Magnetic Resonance Imaging
Female
Predictive Value of Tests
Reproducibility of Results
Ischemic Stroke
Risk Factors
Image Interpretation, Computer-Assisted
Aged
Cross-Sectional Studies
Male
Middle Aged
Risk Assessment
Analysis of nailfold capillaroscopy images with artificial intelligence: Data from literature and performance of machine learning and deep learning from images acquired in the SCLEROCAP study.
Microvascular research
Oct 9, 2024
OBJECTIVE: To evaluate the performance of machine learning and then deep learning to detect a systemic scleroderma (SSc) landscape from the same set of nailfold capillaroscopy (NC) images from the French prospective multicenter observational study SC...
Evaluating the positive predictive value of code-based identification of cirrhosis and its complications utilizing GPT-4.
Hepatology (Baltimore, Md.)
Oct 8, 2024
BACKGROUND AND AIMS: Diagnosis code classification is a common method for cohort identification in cirrhosis research, but it is often inaccurate and augmented by labor-intensive chart review. Natural language processing using large language models (...
Energy-integrating detector based ultra-high-resolution CT with deep learning reconstruction for the assessment of calcified lesions in coronary artery disease.
Journal of cardiovascular computed tomography
Oct 8, 2024
BACKGROUND: The aim of this study to compare of the image quality of calcified lesions in coronary artery disease between deep learning reconstruction (DLR) and model-based iterative reconstruction (MBIR) on energy-integrating detector (EID) based ul...
Severity of Illness Index
Deep Learning
Predictive Value of Tests
Humans
Retrospective Studies
Coronary Angiography
Computed Tomography Angiography
Coronary Artery Disease
Female
Radiographic Image Interpretation, Computer-Assisted
Coronary Vessels
Reproducibility of Results
Multidetector Computed Tomography
Aged
Vascular Calcification
Male
Phantoms, Imaging
Middle Aged
Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitations.
The international journal of cardiovascular imaging
Oct 7, 2024
PURPOSE: This study evaluates the diagnostic performance of artificial intelligence (AI)-based coronary computed tomography angiography (CCTA) for detecting coronary artery disease (CAD) and assessing fractional flow reserve (FFR) in asymptomatic mal...
Humans
Artificial Intelligence
Male
Middle Aged
Severity of Illness Index
Prospective Studies
Reproducibility of Results
Aged
Fractional Flow Reserve, Myocardial
Athletes
Coronary Vessels
Predictive Value of Tests
Asymptomatic Diseases
Coronary Angiography
Computed Tomography Angiography
Radiographic Image Interpretation, Computer-Assisted
Coronary Stenosis
Coronary Artery Disease
Running
Using novel machine learning tools to predict optimal discharge following transcatheter aortic valve replacement.
Archives of cardiovascular diseases
Oct 5, 2024
BACKGROUND: Although transcatheter aortic valve replacement has emerged as an alternative to surgical aortic valve replacement, it requires extensive healthcare resources, and optimal length of hospital stay has become increasingly important. This st...
Retrospective Studies
Clinical Decision-Making
Female
Risk Factors
Aged
Humans
Neural Networks, Computer
Machine Learning
Decision Support Techniques
Databases, Factual
United States
Treatment Outcome
Aortic Valve Stenosis
Aortic Valve
Predictive Value of Tests
Patient Discharge
Aged, 80 and over
Male
Risk Assessment
Length of Stay
Time Factors
Transcatheter Aortic Valve Replacement
Machine learning model to predict early recurrence in patients with perihilar cholangiocarcinoma planned treatment with curative resection: a multicenter study.
Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
Oct 3, 2024
BACKGROUND: Early recurrence is the leading cause of death for patients with perihilar cholangiocarcinoma (pCCA) after surgery. Identifying high-risk patients preoperatively is important. This study aimed to construct a preoperative prediction model ...
De Novo Natural Language Processing Algorithm Accurately Identifies Myxofibrosarcoma From Pathology Reports.
Clinical orthopaedics and related research
Oct 2, 2024
BACKGROUND: Available codes in the ICD-10 do not accurately reflect soft tissue sarcoma diagnoses, and this can result in an underrepresentation of soft tissue sarcoma in databases. The National VA Database provides a unique opportunity for soft tiss...
Machine learning and radiomics for ventricular tachyarrhythmia prediction in hypertrophic cardiomyopathy: insights from an MRI-based analysis.
Acta radiologica (Stockholm, Sweden : 1987)
Oct 1, 2024
BACKGROUND: Myocardial fibrosis is often detected in patients with hypertrophic cardiomyopathy (HCM), which causes left ventricular (LV) dysfunction and tachyarrhythmias.
Machine-Learning Application for Predicting Metabolic Dysfunction-Associated Steatotic Liver Disease Using Laboratory and Body Composition Indicators.
Archives of Iranian medicine
Oct 1, 2024
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a significant global health burden without established curative therapies. Early detection and preventive strategies are crucial for effective MASLD management. T...
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