Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence
Artificial Intelligence (AI) is the simulation of human intelligence in machines so they can perform various actions and execute decision-making. Machine learning (ML), a branch of AI, can analyse information from data and discover novel patterns. AI and ML are rapidly gaining prominence in healthca...
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Radcliffe Medical Media
2021
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oai:doaj.org-article:89315a74f0e8448bbe3eb3643ff8a08a2021-12-04T16:05:07ZCardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence10.15420/icr.2020.041756-14851756-1477https://doaj.org/article/89315a74f0e8448bbe3eb3643ff8a08a2021-10-01T00:00:00Zhttps://www.icrjournal.com/articleindex/icr.2020.04https://doaj.org/toc/1756-1477https://doaj.org/toc/1756-1485Artificial Intelligence (AI) is the simulation of human intelligence in machines so they can perform various actions and execute decision-making. Machine learning (ML), a branch of AI, can analyse information from data and discover novel patterns. AI and ML are rapidly gaining prominence in healthcare as data become increasingly complex. These algorithms can enhance the role of cardiovascular imaging by automating many tasks or calculations, find new patterns or phenotypes in data and provide alternative diagnoses. In interventional cardiology, AI can assist in intraprocedural guidance, intravascular imaging and provide additional information to the operator. AI is slowly expanding its boundaries into interventional cardiology and can fundamentally alter the field. In this review, the authors discuss how AI can enhance the role of cardiovascular imaging and imaging in interventional cardiology.Karthik SeetharamSirish ShresthaPartho P SenguptaRadcliffe Medical MediaarticleSurgeryRD1-811Diseases of the circulatory (Cardiovascular) systemRC666-701ENInterventional Cardiology: Reviews, Research, Resources, Vol 16, Iss , Pp - (2021) |
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Surgery RD1-811 Diseases of the circulatory (Cardiovascular) system RC666-701 |
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Surgery RD1-811 Diseases of the circulatory (Cardiovascular) system RC666-701 Karthik Seetharam Sirish Shrestha Partho P Sengupta Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence |
description |
Artificial Intelligence (AI) is the simulation of human intelligence in machines so they can perform various actions and execute decision-making. Machine learning (ML), a branch of AI, can analyse information from data and discover novel patterns. AI and ML are rapidly gaining prominence in healthcare as data become increasingly complex. These algorithms can enhance the role of cardiovascular imaging by automating many tasks or calculations, find new patterns or phenotypes in data and provide alternative diagnoses. In interventional cardiology, AI can assist in intraprocedural guidance, intravascular imaging and provide additional information to the operator. AI is slowly expanding its boundaries into interventional cardiology and can fundamentally alter the field. In this review, the authors discuss how AI can enhance the role of cardiovascular imaging and imaging in interventional cardiology. |
format |
article |
author |
Karthik Seetharam Sirish Shrestha Partho P Sengupta |
author_facet |
Karthik Seetharam Sirish Shrestha Partho P Sengupta |
author_sort |
Karthik Seetharam |
title |
Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence |
title_short |
Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence |
title_full |
Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence |
title_fullStr |
Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence |
title_full_unstemmed |
Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence |
title_sort |
cardiovascular imaging and intervention through the lens of artificial intelligence |
publisher |
Radcliffe Medical Media |
publishDate |
2021 |
url |
https://doaj.org/article/89315a74f0e8448bbe3eb3643ff8a08a |
work_keys_str_mv |
AT karthikseetharam cardiovascularimagingandinterventionthroughthelensofartificialintelligence AT sirishshrestha cardiovascularimagingandinterventionthroughthelensofartificialintelligence AT parthopsengupta cardiovascularimagingandinterventionthroughthelensofartificialintelligence |
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1718372684733087744 |