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Effective prognostic and clinical risk stratification in COVID‐19 using multimodality biomarkers
In acute coronavirus disease 19 (COVID‐19) patients, effective clinical risk stratification has
important implications on treatment and therapeutic resource distribution. This article …
important implications on treatment and therapeutic resource distribution. This article …
Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals
Objective Federated learning (FL) allows multiple distributed data holders to collaboratively
learn a shared model without data sharing. However, individual health system data are …
learn a shared model without data sharing. However, individual health system data are …
Chest X-ray abnormality detection by using artificial intelligence: a single-site retrospective study of deep learning model performance
D Kvak, A Chromcová, M Biroš, R Hrubý, K Kvaková… - …, 2023 - mdpi.com
Chest X-ray (CXR) is one of the most common radiological examinations for both
nonemergent and emergent clinical indications, but human error or lack of prioritization of …
nonemergent and emergent clinical indications, but human error or lack of prioritization of …
[HTML][HTML] Barriers to and facilitators for acceptance of comprehensive clinical decision support system–driven care maps for patients with thoracic trauma: interview …
Background: Comprehensive clinical decision support (CDS) care maps can improve the
delivery of care and clinical outcomes. However, they are frequently plagued by usability …
delivery of care and clinical outcomes. However, they are frequently plagued by usability …
Effective detection of COVID-19 outbreak in chest X-Rays using fusionnet model
The worldwide pandemic of coronavirus disease 2019 (COVID-19) triggers acute respiratory
difficulties and breathing disorders in humans. The reverse transcription-polymerasssse …
difficulties and breathing disorders in humans. The reverse transcription-polymerasssse …
Rethinking transfer learning for medical image classification
Transfer learning (TL) from pretrained deep models is a standard practice in modern
medical image classification (MIC). However, what levels of features to be reused are …
medical image classification (MIC). However, what levels of features to be reused are …
Prospective External Validation of an AI-Based Emergency Department Pneumonia Disposition Prediction Tool
Purpose: This shadow deployment evaluated an externally-developed AI tool to predict
disposition using chest X-rays (CXR) in patients with community-acquired pneumonia (CAP) …
disposition using chest X-rays (CXR) in patients with community-acquired pneumonia (CAP) …
Tendencia pedagógica en educación superior médica
CAS Andrade, PSE Guamán - Polo del Conocimiento, 2023 - polodelconocimiento.com
El advenimiento de la tecnología ha permitido dos corrientes bien definidas, por una parte,
el fortalecimiento de los pilares del accionar médico en relación al diagnóstico, tratamiento …
el fortalecimiento de los pilares del accionar médico en relación al diagnóstico, tratamiento …
PCA SVM and Xgboost algorithms for Covid-19 recognition in chest X-Ray images
Covid-19 is a life-threatening epidemic, which makes it an active research topic. Our work
aims to use the power of Machine Learning algorithms to develop an intelligent system for …
aims to use the power of Machine Learning algorithms to develop an intelligent system for …
[PDF][PDF] Coates3
In acute COVID-19 patients, effective clinical risk stratification has important implications on
treatment and therapeutic resource distribution. This article reviews the evidence behind a …
treatment and therapeutic resource distribution. This article reviews the evidence behind a …