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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Radcliffe Medical Media
2021-10-01
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| Series: | Interventional Cardiology: Reviews, Research, Resources |
| Online Access: | https://www.icrjournal.com/articleindex/icr.2020.04 |
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| _version_ | 1850110349240434688 |
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| author | Karthik Seetharam Sirish Shrestha Partho P Sengupta |
| author_facet | Karthik Seetharam Sirish Shrestha Partho P Sengupta |
| author_sort | Karthik Seetharam |
| collection | DOAJ |
| 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 |
| id | doaj-art-89315a74f0e8448bbe3eb3643ff8a08a |
| institution | OA Journals |
| issn | 1756-1477 1756-1485 |
| language | English |
| publishDate | 2021-10-01 |
| publisher | Radcliffe Medical Media |
| record_format | Article |
| series | Interventional Cardiology: Reviews, Research, Resources |
| spelling | doaj-art-89315a74f0e8448bbe3eb3643ff8a08a2025-08-20T02:37:51ZengRadcliffe Medical MediaInterventional Cardiology: Reviews, Research, Resources1756-14771756-14852021-10-011610.15420/icr.2020.04Cardiovascular Imaging and Intervention Through the Lens of Artificial IntelligenceKarthik Seetharam0Sirish Shrestha1Partho P Sengupta2West Virginia University Medicine Heart and Vascular Institute, Morgantown, WV, USWest Virginia University Medicine Heart and Vascular Institute, Morgantown, WV, USWest Virginia University Medicine Heart and Vascular Institute, Morgantown, WV, USArtificial 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.https://www.icrjournal.com/articleindex/icr.2020.04 |
| spellingShingle | Karthik Seetharam Sirish Shrestha Partho P Sengupta Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence Interventional Cardiology: Reviews, Research, Resources |
| title | 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_short | Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence |
| title_sort | cardiovascular imaging and intervention through the lens of artificial intelligence |
| url | https://www.icrjournal.com/articleindex/icr.2020.04 |
| work_keys_str_mv | AT karthikseetharam cardiovascularimagingandinterventionthroughthelensofartificialintelligence AT sirishshrestha cardiovascularimagingandinterventionthroughthelensofartificialintelligence AT parthopsengupta cardiovascularimagingandinterventionthroughthelensofartificialintelligence |