Successes and challenges of artificial intelligence in cardiology
In the past decades there has been a substantial evolution in data management and data processing techniques. New data architectures made analysis of big data feasible, healthcare is orienting towards personalized medicine with digital health initiatives, and artificial intelligence (AI) is becoming...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-06-01
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| Series: | Frontiers in Digital Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fdgth.2023.1201392/full |
| _version_ | 1827915044474585088 |
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| author | Bert Vandenberk Bert Vandenberk Derek S. Chew Dinesh Prasana Dinesh Prasana Sunny Gupta Derek V. Exner |
| author_facet | Bert Vandenberk Bert Vandenberk Derek S. Chew Dinesh Prasana Dinesh Prasana Sunny Gupta Derek V. Exner |
| author_sort | Bert Vandenberk |
| collection | DOAJ |
| description | In the past decades there has been a substantial evolution in data management and data processing techniques. New data architectures made analysis of big data feasible, healthcare is orienting towards personalized medicine with digital health initiatives, and artificial intelligence (AI) is becoming of increasing importance. Despite being a trendy research topic, only very few applications reach the stage where they are implemented in clinical practice. This review provides an overview of current methodologies and identifies clinical and organizational challenges for AI in healthcare. |
| first_indexed | 2024-03-13T02:52:52Z |
| format | Article |
| id | doaj.art-c93dd59144c54706bc00f71f4ecea689 |
| institution | Directory Open Access Journal |
| issn | 2673-253X |
| language | English |
| last_indexed | 2024-03-13T02:52:52Z |
| publishDate | 2023-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Digital Health |
| spelling | doaj.art-c93dd59144c54706bc00f71f4ecea6892023-06-28T08:59:03ZengFrontiers Media S.A.Frontiers in Digital Health2673-253X2023-06-01510.3389/fdgth.2023.12013921201392Successes and challenges of artificial intelligence in cardiologyBert Vandenberk0Bert Vandenberk1Derek S. Chew2Dinesh Prasana3Dinesh Prasana4Sunny Gupta5Derek V. Exner6Department of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, CanadaDepartment of Cardiovascular Sciences, KU Leuven, Leuven, BelgiumDepartment of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, CanadaIntelense Inc., Markham, ON, CanadaIOT/AI- Caliber Interconnect Pvt Ltd., Coimbatore, IndiaIntelense Inc., Markham, ON, CanadaDepartment of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, CanadaIn the past decades there has been a substantial evolution in data management and data processing techniques. New data architectures made analysis of big data feasible, healthcare is orienting towards personalized medicine with digital health initiatives, and artificial intelligence (AI) is becoming of increasing importance. Despite being a trendy research topic, only very few applications reach the stage where they are implemented in clinical practice. This review provides an overview of current methodologies and identifies clinical and organizational challenges for AI in healthcare.https://www.frontiersin.org/articles/10.3389/fdgth.2023.1201392/fullartificial intelligencebig datasynthetic datacardiologyelectrophysiolgy |
| spellingShingle | Bert Vandenberk Bert Vandenberk Derek S. Chew Dinesh Prasana Dinesh Prasana Sunny Gupta Derek V. Exner Successes and challenges of artificial intelligence in cardiology Frontiers in Digital Health artificial intelligence big data synthetic data cardiology electrophysiolgy |
| title | Successes and challenges of artificial intelligence in cardiology |
| title_full | Successes and challenges of artificial intelligence in cardiology |
| title_fullStr | Successes and challenges of artificial intelligence in cardiology |
| title_full_unstemmed | Successes and challenges of artificial intelligence in cardiology |
| title_short | Successes and challenges of artificial intelligence in cardiology |
| title_sort | successes and challenges of artificial intelligence in cardiology |
| topic | artificial intelligence big data synthetic data cardiology electrophysiolgy |
| url | https://www.frontiersin.org/articles/10.3389/fdgth.2023.1201392/full |
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