Pneumonia
What's New
Last Posted: Feb 06, 2024
- Artificial intelligence for the optimal management of community-acquired pneumonia.
Maria Antonietta Barbieri et al. Curr Opin Pulm Med 2024 - Prevalence and clinical characteristics of patients with rheumatoid arthritis with interstitial lung disease using unstructured healthcare data and machine learning.
Jose A Román Ivorra et al. RMD Open 2024 10(1) - Online COVID-19 diagnosis prediction using complete blood count: an innovative tool for public health.
Xiaojing Teng et al. BMC Public Health 2023 23(1) 2536 - A clinical prediction model based on interpretable machine learning algorithms for prolonged hospital stay in acute ischemic stroke patients: a real-world study.
Kai Wang et al. Front Endocrinol (Lausanne) 2023 141165178 - VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning.
Ali Samadani et al. Artif Intell Med 2023 146102715 - Robust airway microbiome signatures in acute respiratory failure and hospital-acquired pneumonia.
Emmanuel Montassier et al. Nat Med 2023 11 - Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system.
Aki Miyazaki et al. Sci Rep 2023 13(1) 17533 - Clinical Decision Support System to Detect the Occurrence of Ventilator-Associated Pneumonia in Pediatric Intensive Care.
Jerome Rambaud et al. Diagnostics (Basel) 2023 13(18) - Preoperative Prediction of Postoperative Infections Using Machine Learning and Electronic Health Record Data.
Yaxu Zhuang et al. Ann Surg 2023 - Prediction of respiratory failure risk in patients with pneumonia in the ICU using ensemble learning models.
Guanqi Lyu et al. PLoS One 2023 18(9) e0291711 - A machine learning diagnostic model for Pneumocystis jirovecii pneumonia in patients with severe pneumonia.
Xiaoqian Li et al. Intern Emerg Med 2023 - Computed Tomography scanning in patients with COVID-19: artificial intelligence analysis of lesions volume and outcome.
Y-H Zuo et al. Eur Rev Med Pharmacol Sci 2023 27(12) 5869-5877 - Pneumonia-Plus: a deep learning model for the classification of bacterial, fungal, and viral pneumonia based on CT tomography.
Fang Wang et al. Eur Radiol 2023 - Artificial Intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems.
Kajetan Grodecki et al. Br J Radiol 2023 20220180 - Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study.
Johan N Siebert et al. BMC Pulm Med 2023 23(1) 191 - Metabolic-associated fatty liver disease and liver fibrosis scores as COVID-19 outcome predictors: a machine-learning application.
Mirko Zoncapè et al. Intern Emerg Med 2023 - Detecting acute respiratory diseases in the pediatric population using cough sound features and machine learning: A systematic review.
Roneel V Sharan et al. Int J Med Inform 2023 176105093 - Triaging Patients With Artificial Intelligence for Respiratory Symptoms in Primary Care to Improve Patient Outcomes: A Retrospective Diagnostic Accuracy Study.
Steindór Ellertsson et al. Ann Fam Med 2023 21(3) 240-248 - Chest Radiography of Tuberculosis: Determination of Activity using Deep Learning Algorithm.
Ye Ra Choi et al. Tuberc Respir Dis (Seoul) 2023 - Machine learning links unresolving secondary pneumonia to mortality in patients with severe pneumonia, including COVID-19.
Catherine A Gao et al. J Clin Invest 2023
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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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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
- Page last updated:Apr 19, 2024
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