Accuracy of a deep learning-based algorithm for the detection of thoracic aortic calcifications in chest computed tomography and cardiovascular surgery planning
R Saffar, JI Sperl, T Berger, J Vojtekova… - European Journal of …, 2024 - academic.oup.com
OBJECTIVES To assess the accuracy of a deep learning-based algorithm for fully
automated detection of thoracic aortic calcifications in chest computed tomography (CT) with …
automated detection of thoracic aortic calcifications in chest computed tomography (CT) with …
Medical History and Preoperative Coagulation Profile as Predictors of Outcomes in Elective Spinal Surgery: A Meta-Analysis
PS Pichardo-Rojas, A Calvillo-Ramirez… - World Neurosurgery, 2024 - Elsevier
Background In patients with unremarkable medical history, comprehensive preoperative
hemostasis screening in elective neurosurgery remains debated. Comprehensive medical …
hemostasis screening in elective neurosurgery remains debated. Comprehensive medical …
Machine-Learning Models Based on Preoperative Characteristics for Predicting Gastrointestinal Bleeding after Coronary Artery Bypass Grafting
J Dong, Z Jin, C Li, J Yan, Y Jiang, Z Li, C Chen… - papers.ssrn.com
Background: Gastrointestinal bleeding is a serious complication of coronary artery bypass
grafting, and lacks tailored risk assessment tools for personalized interventions. We aimed to …
grafting, and lacks tailored risk assessment tools for personalized interventions. We aimed to …
Highlighting the latest research: September 2024
SJ Palmer, H Cowan - British Journal of Cardiac Nursing, 2024 - magonlinelibrary.com
Sarah Jane Palmer presents a selection of recently published articles of interest to nurses
working in cardiovascular nursing, while Helen Cowan explores their application to practice …
working in cardiovascular nursing, while Helen Cowan explores their application to practice …