Results 91 to 100 of about 2,275,941 (315)
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation [PDF]
arXiv, 2023 Eosinophilic esophagitis (EoE) is a chronic and relapsing disease characterized by esophageal inflammation. Symptoms of EoE include difficulty swallowing, food impaction, and chest pain which significantly impact the quality of life, resulting in nutritional impairments, social limitations, and psychological distress.
arxiv
JAMA Internal Medicine, 2015 IMPORTANCE Patients presenting to the emergency department (ED) with chest pain whose evaluation for ischemia demonstrates no abnormalities receive further functional or anatomical studies for coronary artery disease; however, comparative evidence for ...
A. Foy +4 more
semanticscholar +1 more source
Automated Coronary Artery Atherosclerosis Detection and Weakly Supervised Localization on Coronary CT Angiography with a Deep 3-Dimensional Convolutional Neural Network [PDF]
, 2019 We propose a fully automated algorithm based on a deep learning framework enabling screening of a coronary computed tomography angiography (CCTA) examination for confident detection of the presence or absence of coronary artery atherosclerosis.
arxiv +1 more source
Australian Journal of Social Issues, EarlyView.ABSTRACT Over the last three decades, overseas researchers have utilised administrative data to identify distinct patterns in shelter use. In Australia, the use of administrative data to understand service utilisation patterns among people ‘at risk’ of homelessness and experiencing homelessness is limited.
Godwin Kavaarpuo +2 more
wiley +1 more source
Family Medicine & Primary Care Review, 2017 Background . Chest pain is a common diagnostic problem faced by primary and emergency care physicians. We are taught to consider the cardiac cause of chest pain as the usual cause from our undergraduate textbooks.
Yeshvanth Kumar G.S. +7 more
doaj +1 more source
A Representation of Uncertainty to Aid Insight into Decision Models [PDF]
arXiv, 2013 Many real world models can be characterized as weak, meaning that there is significant uncertainty in both the data input and inferences. This lack of determinism makes it especially difficult for users of computer decision aids to understand and have confidence in the models.
arxiv
Progress in research on osteoporosis secondary to SARS‐CoV‐2 infection
Animal Models and Experimental Medicine, EarlyView.This review explores the potential mechanisms, complications, risk factors, and future research directions related to osteoporosis secondary to SARS‐CoV‐2 infection. Key mechanisms include an imbalance between osteoclast and osteoblast activity driven by direct viral effects on bone, inflammation, hypoxia, dysregulation of noncoding RNAs, and metabolic
Jinlong Wang +5 more
wiley +1 more source
A Bootstrap Machine Learning Approach to Identify Rare Disease Patients from Electronic Health Records [PDF]
arXiv, 2016 Rare diseases are very difficult to identify among large number of other possible diagnoses. Better availability of patient data and improvement in machine learning algorithms empower us to tackle this problem computationally. In this paper, we target one such rare disease - cardiac amyloidosis.
arxiv
European Heart Journal-Cardiovascular Imaging, 2015 AIMS To determine the symptomatic and prognostic differences resulting from a novel diagnostic pathway based on cardiac computerized tomography (CT) compared with the traditional exercise stress electrocardiography test (EST) in stable chest pain ...
P. Mckavanagh +12 more
semanticscholar +1 more source
Arthritis &Rheumatology, EarlyView.Clinical tools that can aid in the diagnostic differentiation of juvenile dermatomyositis from muscular dystrophy.
Jacqueline A. Madison +9 more
wiley +1 more source