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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.
  • Suri JS; Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, 95747, CA, USA.
  • Puvvula A; Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, 95747, CA, USA.
  • Majhail M; Annu's Hospitals for Skin and Diabetes, Nellore, 524001, AP, India.
  • Biswas M; Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, 95747, CA, USA.
  • Jamthikar AD; Oakmount High School and AtheroPoint™, Roseville, 95747, CA, USA.
  • Saba L; JIS University, Kolkata, 700001, West Bengal, India.
  • Faa G; Department of ECE, Visvesvaraya National Institute of Technology, Nagpur, 440010, MH, India.
  • Singh IM; Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), 09100, Cagliari, Italy.
  • Oberleitner R; Department of Pathology, 09100, AOU of Cagliari, Italy.
  • Turk M; Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, 95747, CA, USA.
  • Srivastava S; Behavior Imaging, Boise, 83701, ID, USA.
  • Chadha PS; The Hanse-Wissenschaftskolleg Institute for Advanced Study, 27749, Delmenhorst, Germany.
  • Suri HS; School of Computing Science & Engineering, Galgotias University, 201301, Gr. Noida, India.
  • Johri AM; Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, 95747, CA, USA.
  • Nambi V; Brown University, Providence, 02912, RI, USA.
  • Sanches JM; Department of Medicine, Division of Cardiology, Queen's University, Kingston, B0P 1R0, Ontario, Canada.
  • Khanna NN; Department of Cardiology, Baylor College of Medicine, 77001, TX, USA.
  • Viskovic K; Institute of Systems and Robotics, Instituto Superior Tecnico, 1000-001, Lisboa, Portugal.
  • Mavrogeni S; Department of Cardiology, Indraprastha APOLLO Hospitals, 110001, New Delhi, India.
  • Laird JR; University Hospital for Infectious Diseases, 10000, Zagreb, Crotia.
  • Bit A; Cardiology Clinic, Onassis Cardiac Surgery Center, 104 31, Athens, Greece.
  • Pareek G; Heart and Vascular Institute, Adventist Health St. Helena, St Helena, 94574, CA, USA.
  • Miner M; Department of Biomedical Engineering, NIT, Raipur, 783334, CG, India.
  • Balestrieri A; Minimally Invasive Urology Institute, Brown University, Providence, 02901, Rhode Island, USA.
  • Sfikakis PP; Men's Health Center, Miriam Hospital Providence, 02901, Rhode Island, USA.
  • Tsoulfas G; Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), 09100, Cagliari, Italy.
  • Protogerou A; Rheumatology Unit, National Kapodistrian University of Athens, 104 31, Greece.
  • Misra DP; Aristoteleion University of Thessaloniki, 544 53, Thessaloniki, Greece.
  • Agarwal V; National & Kapodistrian University of Athens, 104 31, Greece.
  • Kitas GD; Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, 226001, UP, India.
  • Kolluri R; Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, 226001, UP, India.
  • Teji J; Academic Affairs, Dudley Group NHS Foundation Trust, DY1, Dudley, UK.
  • Porcu M; Arthritis Research UK Epidemiology Unit, Manchester University, M13, Manchester, UK.
  • Al-Maini M; OhioHealth Heart and Vascular, 45874, Ohio, USA.
  • Agbakoba A; Ann and Robert H. Lurie Children's Hospital of Chicago, 60601, Chicago, USA.
  • Sockalingam M; Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), 09100, Cagliari, Italy.
  • Sexena A; Allergy, Clinical Immunology and Rheumatology Institute, M3H 6A7, Toronto, Canada.
  • Nicolaides A; University of Lagos, 100001, Lagos, Nigeria.
  • Sharma A; MV Center of Diabetes, 600001, Chennai, India.
  • Rathore V; Department of Cardiology, Indraprastha APOLLO Hospitals, 110001, New Delhi, India.
  • Viswanathan V; Vascular Screening and Diagnostic Centre and University of Nicosia Medical School, 999058, Cyprus.
  • Naidu S; Division of Cardiovascular Medicine, University of Virginia, Charlottesville, 22901, VA, USA.
  • Bhatt DL; Nephrology Department, Kaiser Permanente, Sacramento, 94203, CA, USA.
Rev Cardiovasc Med ; 21(4): 541-560, 2020 12 30.
Article in English | MEDLINE | ID: covidwho-1059479
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Artificial Intelligence / Cardiovascular Diseases / Risk Assessment / Delivery of Health Care / Pandemics / SARS-CoV-2 / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: Rev Cardiovasc Med Journal subject: Vascular Diseases / Cardiology Year: 2020 Document Type: Article Affiliation country: J.rcm.2020.04.236

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Artificial Intelligence / Cardiovascular Diseases / Risk Assessment / Delivery of Health Care / Pandemics / SARS-CoV-2 / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: Rev Cardiovasc Med Journal subject: Vascular Diseases / Cardiology Year: 2020 Document Type: Article Affiliation country: J.rcm.2020.04.236