Publications by authors named "H Kayed"
Long QT syndrome (LQTS) presents significant challenges for pregnant women due to the elevated risk of arrhythmic events. Beta-blocker therapy is a cornerstone of treatment in managing LQTS, but its use during pregnancy introduces potential fetal risks. This systematic review synthesizes the evidence on the efficacy and safety of beta-blocker therapy in pregnant women with LQTS.
View Article and Find Full Text PDFWe present a case of a 75-year-old woman with persistent hypercalcemia (serum calcium 10.7 mg/dL, ionized calcium 1.37 mmol/L), elevated parathyroid hormone levels (86.
View Article and Find Full Text PDFStreamlining Acute Abdominal Aortic Dissection Management-An AI-based CT Imaging Workflow.
J Imaging Inform Med
December 2024
Life-threatening acute aortic dissection (AD) demands timely diagnosis for effective intervention. To streamline intrahospital workflows, automated detection of AD in abdominal computed tomography (CT) scans seems useful to assist humans. We aimed at creating a robust convolutional neural network (CNN)-based pipeline capable of real-time screening for signs of abdominal AD in CT.
View Article and Find Full Text PDFArticle Synopsis
- * Collaboration between cardiologists and neurologists is essential since the causes for elevated hs-cTn can be diverse, sometimes presenting atypically or silently, and some may be life-threatening, such as myocardial infarction.
- * The majority of hs-cTn increases in AIS patients result from non-ischemic myocardial injury, and the paper provides an updated clinical algorithm to assist in differential diagnosis for these cases.
Objective: The aim of the study is to assess the correlation between artificial intelligence (AI)-based low attenuation volume percentage (LAV%) with forced expiratory volume in the first second to forced vital capacity (FEV1/FVC) and visual emphysema grades in routine chest computed tomography (CT). Furthermore, optimal LAV% cutoff values for predicting a FEV1/FVC < 70% or moderate to more extensive visual emphysema grades were calculated.
Methods: In a retrospective study of 298 consecutive patients who underwent routine chest CT and spirometry examinations, LAV% was quantified using an AI-based software with a threshold < -950 HU.