Machine learning, artificial intelligence and mechanical circulatory support: A primer for clinicians
Artificial intelligence (AI) refers to the ability of machines to perform intelligent tasks, and machine learning (ML) is a subset of AI describing the ability of machines to learn independently and make accurate predictions. The application of AI combined with “big data” from the electronic health...
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| Veröffentlicht in: | The Journal of heart and lung transplantation 2021-06, Vol.40 (6), p.414-425 |
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| container_end_page | 425 |
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| container_issue | 6 |
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| container_title | The Journal of heart and lung transplantation |
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| creator | Kanwar, Manreet K. Kilic, Arman Mehra, Mandeep R. |
| description | Artificial intelligence (AI) refers to the ability of machines to perform intelligent tasks, and machine learning (ML) is a subset of AI describing the ability of machines to learn independently and make accurate predictions. The application of AI combined with “big data” from the electronic health records, is poised to impact how we take care of patients. In recent years, an expanding body of literature has been published using ML in cardiovascular health care, including mechanical circulatory support (MCS). This primer article provides an overview for clinicians on relevant concepts of ML and AI, reviews predictive modeling concepts in ML and provides contextual reference to how AI is being adapted in the field of MCS. Lastly, it explains how these methods could be incorporated in the practices of medicine to improve patient outcomes. |
| doi_str_mv | 10.1016/j.healun.2021.02.016 |
| format | Article |
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| ispartof | The Journal of heart and lung transplantation, 2021-06, Vol.40 (6), p.414-425 |
| issn | 1053-2498 1557-3117 |
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| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Algorithms Artificial Intelligence clinical outcomes Decision Making, Computer-Assisted Disease Management heart failure Heart Failure - therapy Heart-Assist Devices Humans LVADs Machine Learning mechanical circulatory support |
| title | Machine learning, artificial intelligence and mechanical circulatory support: A primer for clinicians |
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