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

Authors

• 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, OhioHealth
• 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

Document Type

Article

Publication Title

Reviews in cardiovascular medicine

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.

First Page

541

Last Page

560

DOI

10.31083/j.rcm.2020.04.236

Publication Date

12-30-2020

Recommended Citation

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, Sanches JM, 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. Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence. Rev Cardiovasc Med. 2020 Dec 30;21(4):541-560. doi: 10.31083/j.rcm.2020.04.236. PMID: 33387999.