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

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

doi:10.31083/J.RCM.2020.04.201

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

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

Electrical Engineering

Research output: Contribution to journal › Review article › peer-review

30 Scopus citations

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.

Original language	English (US)
Pages (from-to)	541-560
Number of pages	20
Journal	Reviews in Cardiovascular Medicine
Volume	21
Issue number	4
DOIs	https://doi.org/10.31083/J.RCM.2020.04.201
State	Published - Dec 2020

Bibliographical note

Publisher Copyright:
© 2020 Suri et al. Published by IMR Press.

Keywords

Artificial intelligence
COVID-19
Cardiovascular
Myocarditis
Non-invasive monitoring
Risk assessment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Suri, J. S., Puvvula, A., Majhail, M., Biswas, M., Jamthikar, A. D., Saba, L., Faa, G., Singh, I. M., Oberleitner, R., Turk, M., Srivastava, S., Chadha, P. S., Suri, H. S., Johri, A. M., Nambi, V., Miguel Sanches, J., Khanna, N. N., Viskovic, K., Mavrogeni, S., ... Bhatt, D. L. (2020). Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence. Reviews in Cardiovascular Medicine, 21(4), 541-560. https://doi.org/10.31083/J.RCM.2020.04.201

Suri, JS, Puvvula, A, Majhail, M, Biswas, M, Jamthikar, AD, Saba, L, Faa, G, Singh, IM, Oberleitner, R, Turk, M, Srivastava, S, Chadha, PS, Suri, HS, Johri, AM, Nambi, V, Miguel Sanches, J, Khanna, NN, Viskovic, K, Mavrogeni, S, Laird, JR, Bit, A, Pareek, G, Miner, M, Balestrieri, A, Sfikakis, PP, Tsoulfas, G, Protogerou, A, Misra, DP, Agarwal, V, Kitas, GD, Kolluri, R, Teji, J, Porcu, M, Al-Maini, M, Agbakoba, A, Sockalingam, M, Sexena, A, Nicolaides, A, Sharma, A, Rathore, V, Viswanathan, V, Naidu, S & Bhatt, DL 2020, 'Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence', Reviews in Cardiovascular Medicine, vol. 21, no. 4, pp. 541-560. https://doi.org/10.31083/J.RCM.2020.04.201

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AU - Jamthikar, Ankush D.

AU - Saba, Luca

AU - Faa, Gavino

AU - Singh, Inder M.

AU - Oberleitner, Ronald

AU - Turk, Monika

AU - Srivastava, Saurabh

AU - Chadha, Paramjit S.

AU - Suri, Harman S.

AU - Johri, Amer M.

AU - Nambi, Vijay

AU - Miguel Sanches, J.

AU - Khanna, Narendra N.

AU - Viskovic, Klaudija

AU - Mavrogeni, Sophie

AU - Laird, John R.

AU - Bit, Arindam

AU - Pareek, Gyan

AU - Miner, Martin

AU - Balestrieri, Antonella

AU - Sfikakis, Petros P.

AU - Tsoulfas, George

AU - Protogerou, Athanasios

AU - Misra, Durga Prasanna

AU - Agarwal, Vikas

AU - Kitas, George D.

AU - Kolluri, Raghu

AU - Teji, Jagjit

AU - Porcu, Michele

AU - Al-Maini, Mustafa

AU - Agbakoba, Ann

AU - Sockalingam, Meyypan

AU - Sexena, Ajit

AU - Nicolaides, Andrew

AU - Sharma, Aditya

AU - Rathore, Vijay

AU - Viswanathan, Vijay

AU - Naidu, Subbaram

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KW - Cardiovascular

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

Abstract

Bibliographical note

Keywords

UN SDGs

Access

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