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Ronald Oberleitner

Publications -  4
Citations -  174

Ronald Oberleitner is an academic researcher. The author has contributed to research in topics: ARDS & Lung injury. The author has an hindex of 3, co-authored 4 publications receiving 56 citations.

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COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review.

TL;DR: The role of image-based AI is considered, which can be used to characterize the tissues of a COVID-19 patient and classify the severity of their infection, which is more important than ever as the pandemic surges and countries worldwide grapple with limited medical resources for detection and diagnosis.
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A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence.

TL;DR: In this paper, the authors present the pathological layout of the lungs in the COVID-19 scenario, followed by understanding and then explaining the comorbid statistical distributions in the ARDS framework.
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Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence.

TL;DR: In this article, the authors show the powerful methods of AI for tracking cardiovascular risks and conclude that AI could potentially become an integral part of the COVID-19 disease management system.