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Pregled bibliografske jedinice broj: 1160191

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 et al.
Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence // Reviews in cardiovascular medicine, 21 (2020), 4; 541-560 doi:10.31083/j.rcm.2020.04.236 (međunarodna recenzija, članak, znanstveni)

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

Autori
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.

Izvornik
Reviews in cardiovascular medicine (1530-6550) 21 (2020), 4; 541-560

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
COVID-19 ; cardiovascular ; myocarditis ; artificial intelligence ; risk assessment ; non-invasive monitoring

Sažetak
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 AIbased platforms for tracking the cardiovascular risk assessment during COVID-19 times and long-term follow-up of the survivors.

Izvorni jezik
Engleski

Znanstvena područja
Kliničke medicinske znanosti



POVEZANOST RADA

Ustanove:
Klinika za infektivne bolesti "Dr Fran Mihaljević",
Zdravstveno veleučilište, Zagreb,
Fakultet zdravstvenih studija u Rijeci

Profili:

Avatar Url Klaudija Višković (autor)

Poveznice na cjeloviti tekst rada:

doi imrpress.com

Citiraj ovu publikaciju:

Suri, Jasjit S.; Puvvula, Anudeep; Majhail, Misha; Biswas, Mainak; Jamthikar, Ankush D.; Saba, Luca; Faa, Gavino; Singh, Inder M.; Oberleitner, Ronald; Turk, Monika et al.
Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence // Reviews in cardiovascular medicine, 21 (2020), 4; 541-560 doi:10.31083/j.rcm.2020.04.236 (međunarodna recenzija, članak, znanstveni)
Suri, J., Puvvula, A., Majhail, M., Biswas, M., Jamthikar, A., Saba, L., Faa, G., Singh, I., Oberleitner, R. & Turk, M. (2020) Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence. Reviews in cardiovascular medicine, 21 (4), 541-560 doi:10.31083/j.rcm.2020.04.236.
@article{article, author = {Suri, Jasjit S. and Puvvula, Anudeep and Majhail, Misha and Biswas, Mainak and Jamthikar, Ankush D. and Saba, Luca and Faa, Gavino and Singh, Inder M. and Oberleitner, Ronald and Turk, Monika and Srivastava, Saurabh and Chadha, Paramjit S. and Suri, Harman S. and Johri, Amer M. and Nambi, Vijay and Sanches, J. Miguel and Khanna, Narendra N. and Viskovic, Klaudija and Mavrogeni, Sophie and Laird, John R. and Bit, Arindam and Pareek, Gyan and Miner, Martin and Balestrieri, Antonella and Sfikakis, Petros P. and Tsoulfas, George and Protogerou, Athanasios and Misra, Durga Prasanna and Agarwal, Vikas and Kitas, George D. and Kolluri, Raghu and Teji, Jagjit and Porcu, Michele and Al-Maini, Mustafa and Agbakoba, Ann and Sockalingam, Meyypan and Sexena, Ajit and Nicolaides, Andrew and Sharma, Aditya and Rathore, Vijay and Viswanathan, Vijay and Naidu, Subbaram and Bhatt, Deepak L.}, year = {2020}, pages = {541-560}, DOI = {10.31083/j.rcm.2020.04.236}, keywords = {COVID-19, cardiovascular, myocarditis, artificial intelligence, risk assessment, non-invasive monitoring}, journal = {Reviews in cardiovascular medicine}, doi = {10.31083/j.rcm.2020.04.236}, volume = {21}, number = {4}, issn = {1530-6550}, title = {Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence}, keyword = {COVID-19, cardiovascular, myocarditis, artificial intelligence, risk assessment, non-invasive monitoring} }
@article{article, author = {Suri, Jasjit S. and Puvvula, Anudeep and Majhail, Misha and Biswas, Mainak and Jamthikar, Ankush D. and Saba, Luca and Faa, Gavino and Singh, Inder M. and Oberleitner, Ronald and Turk, Monika and Srivastava, Saurabh and Chadha, Paramjit S. and Suri, Harman S. and Johri, Amer M. and Nambi, Vijay and Sanches, J. Miguel and Khanna, Narendra N. and Viskovic, Klaudija and Mavrogeni, Sophie and Laird, John R. and Bit, Arindam and Pareek, Gyan and Miner, Martin and Balestrieri, Antonella and Sfikakis, Petros P. and Tsoulfas, George and Protogerou, Athanasios and Misra, Durga Prasanna and Agarwal, Vikas and Kitas, George D. and Kolluri, Raghu and Teji, Jagjit and Porcu, Michele and Al-Maini, Mustafa and Agbakoba, Ann and Sockalingam, Meyypan and Sexena, Ajit and Nicolaides, Andrew and Sharma, Aditya and Rathore, Vijay and Viswanathan, Vijay and Naidu, Subbaram and Bhatt, Deepak L.}, year = {2020}, pages = {541-560}, DOI = {10.31083/j.rcm.2020.04.236}, keywords = {COVID-19, cardiovascular, myocarditis, artificial intelligence, risk assessment, non-invasive monitoring}, journal = {Reviews in cardiovascular medicine}, doi = {10.31083/j.rcm.2020.04.236}, volume = {21}, number = {4}, issn = {1530-6550}, title = {Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence}, keyword = {COVID-19, cardiovascular, myocarditis, artificial intelligence, risk assessment, non-invasive monitoring} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE

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