Pulmonary Embolism
What's New
Last Posted: Jun 05, 2024
- 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 - Artificial intelligence for predicting pulmonary embolism: A review of machine learning approaches and performance evaluation.
Ramón Puchades et al. Thromb Res 2023 2349-11 - A Deep-Learning Algorithm-Enhanced Electrocardiogram Interpretation for Detecting Pulmonary Embolism.
Yu-Cheng Chen et al. Acta Cardiol Sin 2023 39(6) 913-928 - Prospective Evaluation of AI Triage of Pulmonary Emboli on CT Pulmonary Angiograms.
Steven A Rothenberg et al. Radiology 2023 309(1) e230702 - 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 - 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 - 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 - Multimodal fusion models for pulmonary embolism mortality prediction.
Noa Cahan et al. Sci Rep 2023 13(1) 7544 - Stroke, Myocardial Infarction, and Pulmonary Embolism after Bivalent Booster.
Marie-Joelle Jabagi et al. N Engl J Med 2023 3 (15) 1431-1432 - 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 - Vaccination status and long COVID symptoms in patients discharged from hospital.
Teresa Cristina D C Nascimento et al. Scientific reports 2023 13(1) 2481 - Epidemiology and prevention of venous thromboembolism.
Lutsey Pamela L et al. Nature reviews. Cardiology 2022 - 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 - International electronic health record-derived post-acute sequelae profiles of COVID-19 patients
HG Zhang et al, NPJ Digital Medicine, June 29, 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 - 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 - How artificial intelligence improves radiological interpretation in suspected pulmonary embolism.
Cheikh Alexandre Ben et al. European radiology 2022 - Predictive values of AI-based triage model in suboptimal CT pulmonary angiography.
Ebrahimian Shadi et al. Clinical imaging 2022 8625-30 - Myocardial Infarction, Stroke, and Pulmonary Embolism After BNT162b2 mRNA COVID-19 Vaccine in People Aged 75 Years or Older
MJ Jabagi et al, JAMA,November 22,2021 - 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 - Evidence Used to Update the List of Underlying Medical Conditions Associated with Higher Risk for Severe COVID-19
CDC Science Brief, October 14, 2021 - 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 - Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning.
Kainz Bernhard et al. NPJ digital medicine 2021 4(1) 137 - Safety of the BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Setting.
Barda Noam et al. The New England journal of medicine 2021 - 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 - 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 - 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 - Natural history of patients with venous thromboembolism and hereditary hemorrhagic telangiectasia. Findings from the RIETE registry.
Riera-Mestre Antoni et al. Orphanet journal of rare diseases 2019 14(1) 196 - 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 - Biomarkers for Clinical Decision-Making in the Management of Pulmonary Embolism.
Giannitsis Evangelos et al. Clinical chemistry 2017 Jan 63(1) 91-100 - New Precision Medicine Treatment Could Benefit Many Men with Treatment-Resistant Metastatic Prostate Cancer
by Andrea K. Miyahira, Prostate Cancer Foundation, October 1, 2019 - Venous Thromboembolism (Blood Clots) and Cancer
CDC, October 2019 - Pathophysiology, diagnosis and management of peripartum cardiomyopathy: a position statement from the Heart Failure Association of the European Society of Cardiology Study Group on peripartum cardiomyopathy.
Bauersachs Johann et al. European journal of heart failure 2019 Jun - Clinical Outcomes Associated With Sickle Cell Trait: A Systematic Review.
Naik Rakhi P, et al. Annals of internal medicine 2018 11 0. (9) 619-627 - Systematic review study supports that sickle cell trait increases risk for some health conditions- More research needed to clarify all health outcomes associated with SCT
J Mjoseth, NHGRI, October 30, 2018 - Utilizing Whole-Exome Sequencing to Characterize the Phenotypic Variability of Sickle Cell Disease.
Alsultan Abdulrahman et al. Genetic testing and molecular biomarkers 2018 Sep - Cost Effectiveness of Genotype-Guided Warfarin Dosing in Patients with Mechanical Heart Valve Replacement Under the Fee-for-Service System.
Kim Dong-Jin et al. Applied health economics and health policy 2017 Oct 15(5) 657-667 - Thrombin generation profile in non-thrombotic factor V Leiden carriers.
Billoir Paul et al. Journal of thrombosis and thrombolysis 2019 Apr 47(3) 473-477 - CLINGEN Actionability Report for Factor V Leiden, Homozygous (also includes compound heterozygous FVL + prothrombin G20210A) - F5
ClinGen Actionability Working Group - CLINGEN Actionability Report for Factor V Leiden, Heterozygous - F5
ClinGen Actionability Working Group
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About HLBS-PopOmics
HLBS-PopOmics is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to Heart and Vascular Diseases(H), Lung Diseases(L), Blood Diseases(B), and Sleep Disorders(S)...more
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Site Citation:
Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genet Med. 2018 Sep 10. doi: 10.1038/s41436-018-0118-1
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
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