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Article: Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence.

Suri, Jasjit S / Puvvula, Anudeep / Majhail, Misha / Biswas, Mainak / Jamthikar, Ankush D / Saba, Luca / Faa, Gavino / Singh, Inder M / Oberleitner, Ronald / Turk, Monika / Srivastava, Saurabh / Chadha, Paramjit S / Suri, Harman S / Johri, Amer M / Nambi, Vijay / Sanches, J Miguel / Khanna, Narendra N / Viskovic, Klaudija / Mavrogeni, Sophie /
Laird, John R / Bit, Arindam / Pareek, Gyan / Miner, Martin / Balestrieri, Antonella / Sfikakis, Petros P / Tsoulfas, George / Protogerou, Athanasios / Misra, Durga Prasanna / Agarwal, Vikas / Kitas, George D / Kolluri, Raghu / Teji, Jagjit / Porcu, Michele / Al-Maini, Mustafa / Agbakoba, Ann / Sockalingam, Meyypan / Sexena, Ajit / Nicolaides, Andrew / Sharma, Aditya / Rathore, Vijay / Viswanathan, Vijay / Naidu, Subbaram / Bhatt, Deepak L

Reviews in cardiovascular medicine

2020  Volume 21, Issue 4, Page(s) 541–560

Abstract: ... platforms for tracking the cardiovascular risk assessment during COVID-19 times and long-term follow-up ... could potentially become an integral part of the COVID-19 disease management system. Countries, large and small ... framework, to develop AI systems. These systems can support risk prediction and monitoring. This perspective ...

Abstract Artificial Intelligence (AI), in general, refers to the machines (or computers) that mimic "cognitive" functions that we associate with our mind, such as "learning" and "solving problem". New biomarkers derived from medical imaging are being discovered and are then fused with non-imaging biomarkers (such as office, laboratory, physiological, genetic, epidemiological, and clinical-based biomarkers) in a big data framework, to develop AI systems. These systems can support risk prediction and monitoring. This perspective narrative shows the powerful methods of AI for tracking cardiovascular risks. We conclude that AI could potentially become an integral part of the COVID-19 disease management system. Countries, large and small, should join hands with the WHO in building biobanks for scientists around the world to build AI-based platforms for tracking the cardiovascular risk assessment during COVID-19 times and long-term follow-up of the survivors.
MeSH term(s) Artificial Intelligence ; COVID-19/epidemiology ; Cardiovascular Diseases/epidemiology ; Cardiovascular Diseases/therapy ; Comorbidity ; Delivery of Health Care/methods ; Humans ; Pandemics ; Risk Assessment ; Risk Factors ; SARS-CoV-2
Language English
Publishing date 2020-12-23
Publishing country United States
Document type Journal Article ; Review
ZDB-ID 2108910-3
ISSN 1530-6550
ISSN 1530-6550
DOI 10.31083/j.rcm.2020.04.236
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Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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Zs.A 6410: Show issues Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

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