Artificial Intelligence Advances in the World of Cardiovascular Imaging
The tremendous advances in digital information and communication technology have entered everything from our daily lives to the most intricate aspects of medical and surgical care. These advances are seen in electronic and mobile health and allow many new applications to further improve and make the...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Healthcare |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-9032/10/1/154 |
| _version_ | 1797493627913502720 |
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| author | Bhakti Patel Amgad N. Makaryus |
| author_facet | Bhakti Patel Amgad N. Makaryus |
| author_sort | Bhakti Patel |
| collection | DOAJ |
| description | The tremendous advances in digital information and communication technology have entered everything from our daily lives to the most intricate aspects of medical and surgical care. These advances are seen in electronic and mobile health and allow many new applications to further improve and make the diagnoses of patient diseases and conditions more precise. In the area of digital radiology with respect to diagnostics, the use of advanced imaging tools and techniques is now at the center of evaluation and treatment. Digital acquisition and analysis are central to diagnostic capabilities, especially in the field of cardiovascular imaging. Furthermore, the introduction of artificial intelligence (AI) into the world of digital cardiovascular imaging greatly broadens the capabilities of the field both with respect to advancement as well as with respect to complete and accurate diagnosis of cardiovascular conditions. The application of AI in recognition, diagnostics, protocol automation, and quality control for the analysis of cardiovascular imaging modalities such as echocardiography, nuclear cardiac imaging, cardiovascular computed tomography, cardiovascular magnetic resonance imaging, and other imaging, is a major advance that is improving rapidly and continuously. We document the innovations in the field of cardiovascular imaging that have been brought about by the acceptance and implementation of AI in relation to healthcare professionals and patients in the cardiovascular field. |
| first_indexed | 2024-03-10T01:22:45Z |
| format | Article |
| id | doaj.art-3d7be9274f7a4722aebda94d0365b65b |
| institution | Directory Open Access Journal |
| issn | 2227-9032 |
| language | English |
| last_indexed | 2024-03-10T01:22:45Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Healthcare |
| spelling | doaj.art-3d7be9274f7a4722aebda94d0365b65b2023-11-23T13:56:37ZengMDPI AGHealthcare2227-90322022-01-0110115410.3390/healthcare10010154Artificial Intelligence Advances in the World of Cardiovascular ImagingBhakti Patel0Amgad N. Makaryus1Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hofstra University, Hempstead, NY 11549, USADonald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hofstra University, Hempstead, NY 11549, USAThe tremendous advances in digital information and communication technology have entered everything from our daily lives to the most intricate aspects of medical and surgical care. These advances are seen in electronic and mobile health and allow many new applications to further improve and make the diagnoses of patient diseases and conditions more precise. In the area of digital radiology with respect to diagnostics, the use of advanced imaging tools and techniques is now at the center of evaluation and treatment. Digital acquisition and analysis are central to diagnostic capabilities, especially in the field of cardiovascular imaging. Furthermore, the introduction of artificial intelligence (AI) into the world of digital cardiovascular imaging greatly broadens the capabilities of the field both with respect to advancement as well as with respect to complete and accurate diagnosis of cardiovascular conditions. The application of AI in recognition, diagnostics, protocol automation, and quality control for the analysis of cardiovascular imaging modalities such as echocardiography, nuclear cardiac imaging, cardiovascular computed tomography, cardiovascular magnetic resonance imaging, and other imaging, is a major advance that is improving rapidly and continuously. We document the innovations in the field of cardiovascular imaging that have been brought about by the acceptance and implementation of AI in relation to healthcare professionals and patients in the cardiovascular field.https://www.mdpi.com/2227-9032/10/1/154artificial intelligenceinformation technologycardiologyradiologyimaging |
| spellingShingle | Bhakti Patel Amgad N. Makaryus Artificial Intelligence Advances in the World of Cardiovascular Imaging Healthcare artificial intelligence information technology cardiology radiology imaging |
| title | Artificial Intelligence Advances in the World of Cardiovascular Imaging |
| title_full | Artificial Intelligence Advances in the World of Cardiovascular Imaging |
| title_fullStr | Artificial Intelligence Advances in the World of Cardiovascular Imaging |
| title_full_unstemmed | Artificial Intelligence Advances in the World of Cardiovascular Imaging |
| title_short | Artificial Intelligence Advances in the World of Cardiovascular Imaging |
| title_sort | artificial intelligence advances in the world of cardiovascular imaging |
| topic | artificial intelligence information technology cardiology radiology imaging |
| url | https://www.mdpi.com/2227-9032/10/1/154 |
| work_keys_str_mv | AT bhaktipatel artificialintelligenceadvancesintheworldofcardiovascularimaging AT amgadnmakaryus artificialintelligenceadvancesintheworldofcardiovascularimaging |