AIMC Topic: Aged
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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...
Retinal Vessels
Leukoencephalopathies
Predictive Value of Tests
Ischemic Stroke
Image Interpretation, Computer-Assisted
White Matter
Risk Factors
Aged
Middle Aged
Humans
Cross-Sectional Studies
Risk Assessment
Retrospective Studies
Male
Female
Deep Learning
Reproducibility of Results
Magnetic Resonance Imaging
Deep learning from head CT scans to predict elevated intracranial pressure.
Journal of neuroimaging : official journal of the American Society of Neuroimaging
Oct 10, 2024
BACKGROUND AND PURPOSE: Elevated intracranial pressure (ICP) resulting from severe head injury or stroke poses a risk of secondary brain injury that requires neurosurgical intervention. However, currently available noninvasive monitoring techniques f...
Features selection in a predictive model for cardiac surgery-associated acute kidney injury.
Perfusion
Oct 9, 2024
BackgroundCardiac surgery-associated acute kidney injury (CSA-AKI) is related to increased morbidity and mortality. However, limited studies have explored the influence of different feature selection (FS) methods on the predictive performance of CSA-...
Dual Energy CT for Deep Learning-Based Segmentation and Volumetric Estimation of Early Ischemic Infarcts.
Journal of imaging informatics in medicine
Oct 9, 2024
Ischemic changes are not visible on non-contrast head CT until several hours after infarction, though deep convolutional neural networks have shown promise in the detection of subtle imaging findings. This study aims to assess if dual-energy CT (DECT...
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 ...
Predicting Response to Intravesical Bacillus Calmette-Guérin in High-Risk Nonmuscle-Invasive Bladder Cancer Using an Artificial Intelligence-Powered Pathology Assay: Development and Validation in an International 12-Center Cohort.
The Journal of urology
Oct 9, 2024
PURPOSE: There are few markers to identify those likely to recur or progress after treatment with intravesical bacillus Calmette-Guérin (BCG). We developed and validated artificial intelligence (AI)-based histologic assays that extract interpretable ...
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...
Rapid diagnosis and recurrence prediction of choledocholithiasis disease using raw bile with machine learning assisted SERS.
Talanta
Oct 9, 2024
Surface-enhanced Raman spectroscopy (SERS) analysis based on body fluids has been widely applied in disease diagnose. Choledocholithiasis is a widespread and often recurrent digestive system disease, with limited data on factors predicting its format...
Patients' attitudes toward artificial intelligence in dentistry and their trust in dentists.
Oral radiology
Oct 9, 2024
OBJECTIVES: This study intended to evaluate patients' attitudes toward the use of AI in dental radiographic detection of occlusal caries and the impact of AI-based diagnosis on their trust in dentists.
Serum Potassium Monitoring Using AI-Enabled Smartwatch Electrocardiograms.
JACC. Clinical electrophysiology
Oct 9, 2024
BACKGROUND: Hyperkalemia, characterized by elevated serum potassium levels, heightens the risk of sudden cardiac death, particularly increasing risk for individuals with chronic kidney disease and end-stage renal disease (ESRD). Traditional laborator...
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