AI and the cardiologist: when mind, heart and machine unite
Artificial intelligence (AI) and deep learning has made much headway in the consumer and advertising sector, not only affecting how and what people purchase these days, but also affecting behaviour and cultural attitudes. It is poised to influence nearly every aspect of our being, and the field of c...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2021-12-01
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| Series: | Open Heart |
| Online Access: | https://openheart.bmj.com/content/8/2/e001874.full |
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| _version_ | 1850195592256421888 |
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| author | Antonio D'Costa Aishwarya Zatale |
| author_facet | Antonio D'Costa Aishwarya Zatale |
| author_sort | Antonio D'Costa |
| collection | DOAJ |
| description | Artificial intelligence (AI) and deep learning has made much headway in the consumer and advertising sector, not only affecting how and what people purchase these days, but also affecting behaviour and cultural attitudes. It is poised to influence nearly every aspect of our being, and the field of cardiology is not an exception. This paper aims to brief the clinician on the advances in AI and machine learning in the field of cardiology, its applications, while also recognising the potential for future development in these two mammoth fields. With the advent of big data, new opportunities are emerging to build AI tools, with better accuracy, that will directly aid not only the clinician but also allow nations to provide better healthcare to its citizens. |
| format | Article |
| id | doaj-art-30cc252cceea4e3da2f9efa2dd31077c |
| institution | OA Journals |
| issn | 2053-3624 |
| language | English |
| publishDate | 2021-12-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | Open Heart |
| spelling | doaj-art-30cc252cceea4e3da2f9efa2dd31077c2025-08-20T02:13:44ZengBMJ Publishing GroupOpen Heart2053-36242021-12-018210.1136/openhrt-2021-001874AI and the cardiologist: when mind, heart and machine uniteAntonio D'Costa0Aishwarya Zatale1Paediatrics, Bai Jerbai Wadia Hospital for Children, Mumbai, Maharashtra, IndiaPaediatrics, Bai Jerbai Wadia Hospital for Children, Mumbai, Maharashtra, IndiaArtificial intelligence (AI) and deep learning has made much headway in the consumer and advertising sector, not only affecting how and what people purchase these days, but also affecting behaviour and cultural attitudes. It is poised to influence nearly every aspect of our being, and the field of cardiology is not an exception. This paper aims to brief the clinician on the advances in AI and machine learning in the field of cardiology, its applications, while also recognising the potential for future development in these two mammoth fields. With the advent of big data, new opportunities are emerging to build AI tools, with better accuracy, that will directly aid not only the clinician but also allow nations to provide better healthcare to its citizens.https://openheart.bmj.com/content/8/2/e001874.full |
| spellingShingle | Antonio D'Costa Aishwarya Zatale AI and the cardiologist: when mind, heart and machine unite Open Heart |
| title | AI and the cardiologist: when mind, heart and machine unite |
| title_full | AI and the cardiologist: when mind, heart and machine unite |
| title_fullStr | AI and the cardiologist: when mind, heart and machine unite |
| title_full_unstemmed | AI and the cardiologist: when mind, heart and machine unite |
| title_short | AI and the cardiologist: when mind, heart and machine unite |
| title_sort | ai and the cardiologist when mind heart and machine unite |
| url | https://openheart.bmj.com/content/8/2/e001874.full |
| work_keys_str_mv | AT antoniodcosta aiandthecardiologistwhenmindheartandmachineunite AT aishwaryazatale aiandthecardiologistwhenmindheartandmachineunite |