Journal article
Machine learning, artificial intelligence and mechanical circulatory support: A primer for clinicians
The Journal of heart and lung transplantation, v 40(6), pp 414-425
Jun 2021
PMID: 33775520
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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.
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Details
- Title
- Machine learning, artificial intelligence and mechanical circulatory support: A primer for clinicians
- Creators
- Manreet K. Kanwar - Allegheny Health NetworkArman Kilic - University of Pittsburgh Medical CenterMandeep R. Mehra - Brigham and Women's Hospital
- Publication Details
- The Journal of heart and lung transplantation, v 40(6), pp 414-425
- Publisher
- Elsevier
- Number of pages
- 12
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Cardiology
- Web of Science ID
- WOS:000655667900003
- Scopus ID
- 2-s2.0-85103239735
- Other Identifier
- 991021932193104721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Cardiac & Cardiovascular Systems
- Respiratory System
- Surgery
- Transplantation