Artificial Intelligence in Cardiovascular Medicine: A Comprehensive Clinical Review

Vijay Durga Pradeep Ganipineni; Sai Dheeraj Gutlapalli; Jananthan Paramsothy; Ikpechukwu J Okorie; Derek Ugwendum; Meena A Farid; Daniel Fabian; Tharunjan Kailayanathan; GianPaolo Piccione; Ajay Sai Krishna Kumar Idavalapati; Ziteste Azeze; Muhammed Atere; Sean Galligan; Jay Nfonoyim; Francesco Rotatori

doi:10.20944/preprints202305.1061.v1

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preprints.org > public health and healthcare > public health and health services > doi: 10.20944/preprints202305.1061.v1

Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Artificial Intelligence in Cardiovascular Medicine: A Comprehensive Clinical Review

Vijay Durga Pradeep Ganipineni

Sai Dheeraj Gutlapalli

^* ,

Tharunjan Kailayanathan

GianPaolo Piccione

Ajay Sai Krishna Kumar Idavalapati

Version 1 : Received: 14 May 2023 / Approved: 15 May 2023 / Online: 15 May 2023 (16:03:01 CEST)

How to cite: Ganipineni, V.D.P.; Gutlapalli, S.D.; Paramsothy, J.; Okorie, I.J.; Ugwendum, D.; Farid, M.A.; Fabian, D.; Kailayanathan, T.; Piccione, G.; Idavalapati, A.S.K.K.; Azeze, Z.; Atere, M.; Galligan, S.; Nfonoyim, J.; Rotatori, F. Artificial Intelligence in Cardiovascular Medicine: A Comprehensive Clinical Review. Preprints 2023, 2023051061. https://doi.org/10.20944/preprints202305.1061.v1 Ganipineni, V.D.P.; Gutlapalli, S.D.; Paramsothy, J.; Okorie, I.J.; Ugwendum, D.; Farid, M.A.; Fabian, D.; Kailayanathan, T.; Piccione, G.; Idavalapati, A.S.K.K.; Azeze, Z.; Atere, M.; Galligan, S.; Nfonoyim, J.; Rotatori, F. Artificial Intelligence in Cardiovascular Medicine: A Comprehensive Clinical Review. Preprints 2023, 2023051061. https://doi.org/10.20944/preprints202305.1061.v1

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MDPI and ACS Style

Ganipineni, V.D.P.; Gutlapalli, S.D.; Paramsothy, J.; Okorie, I.J.; Ugwendum, D.; Farid, M.A.; Fabian, D.; Kailayanathan, T.; Piccione, G.; Idavalapati, A.S.K.K.; Azeze, Z.; Atere, M.; Galligan, S.; Nfonoyim, J.; Rotatori, F. Artificial Intelligence in Cardiovascular Medicine: A Comprehensive Clinical Review. Preprints 2023, 2023051061. https://doi.org/10.20944/preprints202305.1061.v1

APA Style

Ganipineni, V.D.P., Gutlapalli, S.D., Paramsothy, J., Okorie, I.J., Ugwendum, D., Farid, M.A., Fabian, D., Kailayanathan, T., Piccione, G., Idavalapati, A.S.K.K., Azeze, Z., Atere, M., Galligan, S., Nfonoyim, J., & Rotatori, F. (2023). Artificial Intelligence in Cardiovascular Medicine: A Comprehensive Clinical Review. Preprints. https://doi.org/10.20944/preprints202305.1061.v1

Chicago/Turabian Style

Ganipineni, V.D.P., Jay Nfonoyim and Francesco Rotatori. 2023 "Artificial Intelligence in Cardiovascular Medicine: A Comprehensive Clinical Review" Preprints. https://doi.org/10.20944/preprints202305.1061.v1

Abstract

In this review we look at the developments in the field of artificial intelligence (A.I) and their current impact as well as future implications in the field of cardiology, we as physicians and cardiologists have tried to put our perspective on the rapidly evolving field, In light of the fact that many of the healthcare workers and professionals across the world still find the concept of A.I quite complicated, elusive and somewhat paradoxical, we have tried to simplify the concept of artificial intelligence and make it easy for everyone to understand from all walks of life. The Databases utilized for our review are PubMed, PubMed Central, Google Scholar. The Keywords used for our Data Search are “Artificial Intelligence”, “A.I Cardiology”, “A.I in Cardiovascular Medicine”, “Machine Learning in Cardiology”. We screened all relevant since inception till March 25th and included 44 relevant articles after careful consideration into our paper. We have discussed the implementation of and scope of artificial intelligence across a broad spectrum of applications including cardiovascular imaging and diagnostics like electrocardiograms, echocardiograms, cardiac CT/MRIs to novel cardiac monitoring devices, CRISPR gene editing in cardiology and implementation of artificial intelligence in the field of Cardiovascular Bioprinting. This is the initial review in a series of reviews regarding A.I in Cardiology.

Keywords

Artificial Intelligence; A.I Cardiology; A.I in Cardiovascular Medicine; Machine Learning in Cardiology

Subject

Public Health and Healthcare, Public Health and Health Services

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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