[HTML][HTML] Diagnosis of ventilator-associated pneumonia in critically ill adult patients—a systematic review and meta-analysis
The accuracy of the signs and tests that clinicians use to diagnose ventilator-associated
pneumonia (VAP) and initiate antibiotic treatment has not been well characterized. We …
pneumonia (VAP) and initiate antibiotic treatment has not been well characterized. We …
Bovine respiratory disease diagnosis: What progress has been made in clinical diagnosis?
S Buczinski, B Pardon - Veterinary Clinics: Food Animal …, 2020 - vetfood.theclinics.com
Accurate diagnosis of bovine respiratory disease (BRD) is an ongoing challenge that
impairs the ability to optimally treat and prevent BRD. This article focuses on the clinical …
impairs the ability to optimally treat and prevent BRD. This article focuses on the clinical …
COVID-19 detection through transfer learning using multimodal imaging data
Detecting COVID-19 early may help in devising an appropriate treatment plan and disease
containment decisions. In this study, we demonstrate how transfer learning from deep …
containment decisions. In this study, we demonstrate how transfer learning from deep …
[HTML][HTML] COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
Abstract Background and Objective: The COVID-19 can cause severe pneumonia and is
estimated to have a high impact on the healthcare system. Early diagnosis is crucial for …
estimated to have a high impact on the healthcare system. Early diagnosis is crucial for …
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
Coronavirus is an epidemic that spreads very quickly. For this reason, it has very devastating
effects in many areas worldwide. It is vital to detect COVID-19 diseases as quickly as …
effects in many areas worldwide. It is vital to detect COVID-19 diseases as quickly as …
Viral pneumonia screening on chest X-rays using confidence-aware anomaly detection
Clusters of viral pneumonia occurrences over a short period may be a harbinger of an
outbreak or pandemic. Rapid and accurate detection of viral pneumonia using chest X-rays …
outbreak or pandemic. Rapid and accurate detection of viral pneumonia using chest X-rays …
Prediction of COVID-19 using genetic deep learning convolutional neural network (GDCNN)
RG Babukarthik, VAK Adiga, G Sambasivam… - Ieee …, 2020 - ieeexplore.ieee.org
Rapid spread of Coronavirus disease COVID-19 leads to severe pneumonia and it is
estimated to create a high impact on the healthcare system. An urgent need for early …
estimated to create a high impact on the healthcare system. An urgent need for early …
An IoT-based deep learning framework for early assessment of COVID-19
Advancement in the Internet of Medical Things (IoMT), along with machine learning, deep
learning, and artificial intelligence techniques, initiated a world of possibilities in healthcare …
learning, and artificial intelligence techniques, initiated a world of possibilities in healthcare …
[HTML][HTML] COVID-XNet: A custom deep learning system to diagnose and locate COVID-19 in chest X-ray images
L Duran-Lopez, JP Dominguez-Morales… - Applied Sciences, 2020 - mdpi.com
Featured Application This work could be used to aid radiologists in the screening process,
contributing to the fight against COVID-19. Abstract The COVID-19 pandemic caused by the …
contributing to the fight against COVID-19. Abstract The COVID-19 pandemic caused by the …
Over-testing for suspected pulmonary embolism in American emergency departments: the continuing epidemic
JA Kline, JS Garrett, EJ Sarmiento… - … Quality and Outcomes, 2020 - Am Heart Assoc
Background: No recent data have investigated rates of diagnostic testing for pulmonary
embolism (PE) in US emergency departments (EDs), and no data have examined computed …
embolism (PE) in US emergency departments (EDs), and no data have examined computed …