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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Last data update: Jun 21, 2024
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The potential of virtual triage AI to improve early detection, care acuity alignment, and emergent care referral of life-threatening conditions.
George A Gellert et al. Front Public Health 2024 121362246
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Artificial intelligence for predicting pulmonary embolism: A review of machine learning approaches and performance evaluation.
Ramón Puchades et al. Thromb Res 2023 2349-11
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A Deep-Learning Algorithm-Enhanced Electrocardiogram Interpretation for Detecting Pulmonary Embolism.
Yu-Cheng Chen et al. Acta Cardiol Sin 2023 39(6) 913-928
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Prospective Evaluation of AI Triage of Pulmonary Emboli on CT Pulmonary Angiograms.
Steven A Rothenberg et al. Radiology 2023 309(1) e230702
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An artificial intelligence algorithm for pulmonary embolism detection on polychromatic computed tomography: performance on virtual monochromatic images.
Eline Langius-Wiffen et al. Eur Radiol 2023
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Added value of an artificial intelligence algorithm in reducing the number of missed incidental acute pulmonary embolism in routine portal venous phase chest CT.
Eline Langius-Wiffen et al. Eur Radiol 2023
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Retrospective batch analysis to evaluate the diagnostic accuracy of a clinically deployed AI algorithm for the detection of acute pulmonary embolism on CTPA.
Eline Langius-Wiffen et al. Insights Imaging 2023 14(1) 102
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Multimodal fusion models for pulmonary embolism mortality prediction.
Noa Cahan et al. Sci Rep 2023 13(1) 7544
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Artificial intelligence-based diagnosis of acute pulmonary embolism: Development of a machine learning model using 12-lead electrocardiogram.
Beatriz Valente Silva et al. Revista portuguesa de cardiologia : orgao oficial da Sociedade Portuguesa de Cardiologia = Portuguese journal of cardiology : an official journal of the Portuguese Society of Cardiology 2023
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Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting
A Wismuller et al, NPJ Digital Medicine, August 19, 2022
Massive external validation of a machine learning algorithm to predict pulmonary embolism in hospitalized patients.
Shen Jieru et al. Thrombosis research 2022 21614-21
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Prediction and Diagnosis of Respiratory Disease by Combining Convolutional Neural Network and Bi-directional Long Short-Term Memory Methods.
Li Li et al. Frontiers in public health 2022 10881234
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How artificial intelligence improves radiological interpretation in suspected pulmonary embolism.
Cheikh Alexandre Ben et al. European radiology 2022
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Predictive values of AI-based triage model in suboptimal CT pulmonary angiography.
Ebrahimian Shadi et al. Clinical imaging 2022 8625-30
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Machine learning versus traditional methods for the development of risk stratification scores: a case study using original Canadian Syncope Risk Score data.
Grant Lars et al. Internal and emergency medicine 2021
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Construction of a Risk Prediction Model for Hospital-Acquired Pulmonary Embolism in Hospitalized Patients.
Hou Lengchen et al. Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis 2021 2710760296211040868
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Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning.
Kainz Bernhard et al. NPJ digital medicine 2021 4(1) 137
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Present Limitations of Artificial Intelligence in the Emergency Setting - Performance Study of a Commercial, Computer-Aided Detection Algorithm for Pulmonary Embolism.
Müller-Peltzer Katharina et al. RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin 2021
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Deep learning-based automated detection of pulmonary embolism on CT pulmonary angiograms: No significant effects on report communication times and patient turnaround in the emergency department nine months after technical implementation.
Schmuelling Lena et al. European journal of radiology 2021 141109816
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Missed Incidental Pulmonary Embolism: Harnessing Artificial Intelligence to Assess Prevalence and Improve Quality Improvement Opportunities.
Wildman-Tobriner Benjamin et al. Journal of the American College of Radiology : JACR 2021 Feb
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Machine Learning and Deep Neural Network Applications in the Thorax: Pulmonary Embolism, Chronic Thromboembolic Pulmonary Hypertension, Aorta, and Chronic Obstructive Pulmonary Disease.
Remy-Jardin Martine et al. Journal of thoracic imaging 2020 Apr
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Biomarkers for Clinical Decision-Making in the Management of Pulmonary Embolism.
Giannitsis Evangelos et al. Clinical chemistry 2017 Jan 63(1) 91-100
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Page last reviewed:
Feb 1, 2024
Page last updated:
Jun 21, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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