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Artificial Intelligence, Data Sensors and Interconnectivity: Future Opportunities for Heart Failure
A higher proportion of patients with heart failure have benefitted from a wide and expanding variety of sensor-enabled implantable devices than any other patient group. These patients can now also take advantage of the ever-increasing availability and affordability of consumer electronics. Wearable,...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Radcliffe Cardiology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265101/ https://www.ncbi.nlm.nih.gov/pubmed/32514380 http://dx.doi.org/10.15420/cfr.2019.14 |
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author | Bachtiger, Patrik Plymen, Carla M Pabari, Punam A Howard, James P Whinnett, Zachary I Opoku, Felicia Janering, Stephen Faisal, Aldo A Francis, Darrel P Peters, Nicholas S |
author_facet | Bachtiger, Patrik Plymen, Carla M Pabari, Punam A Howard, James P Whinnett, Zachary I Opoku, Felicia Janering, Stephen Faisal, Aldo A Francis, Darrel P Peters, Nicholas S |
author_sort | Bachtiger, Patrik |
collection | PubMed |
description | A higher proportion of patients with heart failure have benefitted from a wide and expanding variety of sensor-enabled implantable devices than any other patient group. These patients can now also take advantage of the ever-increasing availability and affordability of consumer electronics. Wearable, on- and near-body sensor technologies, much like implantable devices, generate massive amounts of data. The connectivity of all these devices has created opportunities for pooling data from multiple sensors – so-called interconnectivity – and for artificial intelligence to provide new diagnostic, triage, risk-stratification and disease management insights for the delivery of better, more personalised and cost-effective healthcare. Artificial intelligence is also bringing important and previously inaccessible insights from our conventional cardiac investigations. The aim of this article is to review the convergence of artificial intelligence, sensor technologies and interconnectivity and the way in which this combination is set to change the care of patients with heart failure. |
format | Online Article Text |
id | pubmed-7265101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Radcliffe Cardiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-72651012020-06-07 Artificial Intelligence, Data Sensors and Interconnectivity: Future Opportunities for Heart Failure Bachtiger, Patrik Plymen, Carla M Pabari, Punam A Howard, James P Whinnett, Zachary I Opoku, Felicia Janering, Stephen Faisal, Aldo A Francis, Darrel P Peters, Nicholas S Card Fail Rev Digital Health A higher proportion of patients with heart failure have benefitted from a wide and expanding variety of sensor-enabled implantable devices than any other patient group. These patients can now also take advantage of the ever-increasing availability and affordability of consumer electronics. Wearable, on- and near-body sensor technologies, much like implantable devices, generate massive amounts of data. The connectivity of all these devices has created opportunities for pooling data from multiple sensors – so-called interconnectivity – and for artificial intelligence to provide new diagnostic, triage, risk-stratification and disease management insights for the delivery of better, more personalised and cost-effective healthcare. Artificial intelligence is also bringing important and previously inaccessible insights from our conventional cardiac investigations. The aim of this article is to review the convergence of artificial intelligence, sensor technologies and interconnectivity and the way in which this combination is set to change the care of patients with heart failure. Radcliffe Cardiology 2020-05-12 /pmc/articles/PMC7265101/ /pubmed/32514380 http://dx.doi.org/10.15420/cfr.2019.14 Text en Copyright © 2020, Radcliffe Cardiology https://creativecommons.org/licenses/by-nc/4.0/legalcode This work is open access under the CC-BY-NC 4.0 License which allows users to copy, redistribute and make derivative works for non-commercial purposes, provided the original work is cited correctly. |
spellingShingle | Digital Health Bachtiger, Patrik Plymen, Carla M Pabari, Punam A Howard, James P Whinnett, Zachary I Opoku, Felicia Janering, Stephen Faisal, Aldo A Francis, Darrel P Peters, Nicholas S Artificial Intelligence, Data Sensors and Interconnectivity: Future Opportunities for Heart Failure |
title | Artificial Intelligence, Data Sensors and Interconnectivity: Future Opportunities for Heart Failure |
title_full | Artificial Intelligence, Data Sensors and Interconnectivity: Future Opportunities for Heart Failure |
title_fullStr | Artificial Intelligence, Data Sensors and Interconnectivity: Future Opportunities for Heart Failure |
title_full_unstemmed | Artificial Intelligence, Data Sensors and Interconnectivity: Future Opportunities for Heart Failure |
title_short | Artificial Intelligence, Data Sensors and Interconnectivity: Future Opportunities for Heart Failure |
title_sort | artificial intelligence, data sensors and interconnectivity: future opportunities for heart failure |
topic | Digital Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265101/ https://www.ncbi.nlm.nih.gov/pubmed/32514380 http://dx.doi.org/10.15420/cfr.2019.14 |
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