AIMC Topic: Pandemics
Clear Filters Showing 741 to 750 of 784 articles
Artificial intelligence, drug repurposing and peer review.
Nature biotechnology
Oct 1, 2020
Usefulness of machine learning in COVID-19 for the detection and prognosis of cardiovascular complications.
Reviews in cardiovascular medicine
Sep 30, 2020
Since January 2020, coronavirus disease 2019 (COVID-19) has rapidly become a global concern, and its cardiovascular manifestations have highlighted the need for fast, sensitive and specific tools for early identification and risk stratification. Mach...
Survival Analysis of COVID-19 Patients in Russia Using Machine Learning.
Studies in health technology and informatics
Sep 4, 2020
The current pandemic can likely have several waves and will require a major effort to save lives and provide optimal treatment. The efficient clinical resource planning and efficient treatment require identification of risk groups and specific clinic...
COVID-19 and the epistemology of epidemiological models at the dawn of AI.
Annals of human biology
Sep 1, 2020
The models used to estimate disease transmission, susceptibility and severity determine what epidemiology can (and cannot tell) us about COVID-19. These include: 'model organisms' chosen for their phylogenetic/aetiological similarities; multivariable...
Artificial intelligence technology for diagnosing COVID-19 cases: a review of substantial issues.
European review for medical and pharmacological sciences
Sep 1, 2020
Today, the world suffers from the rapid spread of COVID-19, which has claimed thousands of lives. Unfortunately, its treatment is yet to be developed. Nevertheless, this phenomenon can be decelerated by diagnosing and quarantining patients with COVID...
Massive data initiatives and AI provide testbed for pandemic forecasting.
Nature biotechnology
Sep 1, 2020
Artificial intelligence in ophthalmology during COVID-19 and in the post COVID-19 era.
Current opinion in ophthalmology
Sep 1, 2020
PURPOSE OF REVIEW: To highlight artificial intelligence applications in ophthalmology during the COVID-19 pandemic that can be used to: describe ocular findings and changes correlated with COVID-19; extract information from scholarly articles on SARS...
A review on the use of artificial intelligence for medical imaging of the lungs of patients with coronavirus disease 2019.
Diagnostic and interventional radiology (Ankara, Turkey)
Sep 1, 2020
The results of research on the use of artificial intelligence (AI) for medical imaging of the lungs of patients with coronavirus disease 2019 (COVID-19) has been published in various forms. In this study, we reviewed the AI for diagnostic imaging of ...
Combat COVID-19 with artificial intelligence and big data.
Journal of travel medicine
Aug 20, 2020
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT.
IEEE transactions on medical imaging
Aug 1, 2020
Accurate and rapid diagnosis of COVID-19 suspected cases plays a crucial role in timely quarantine and medical treatment. Developing a deep learning-based model for automatic COVID-19 diagnosis on chest CT is helpful to counter the outbreak of SARS-C...
Coronavirus Infections
Image Interpretation, Computer-Assisted
Thorax
Betacoronavirus
Aged
Adult
Pneumonia, Viral
Retrospective Studies
Adolescent
Aged, 80 and over
Humans
Male
Tomography, X-Ray Computed
Child
Young Adult
Pandemics
Middle Aged
Supervised Machine Learning
Female
COVID-19
Lung
SARS-CoV-2
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