Imperial College London
Portrait Picture

Professor Aldo Faisal

Faculty of Engineering, Department of Bioengineering

Professor of AI & Neuroscience
 
 
 
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Contact

 

+44 (0)20 7594 6373a.faisal Website

 
 
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Assistant

 

Miss Teresa Ng +44 (0)20 7594 8300

 
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Location

 

4.08Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Bachtiger:2020:10.15420/cfr.2019.14,
author = {Bachtiger, P and Plymen, CM and Pabari, PA and Howard, JP and Whinnett, ZI and Opoku, F and Janering, S and Faisal, AA and Francis, DP and Peters, NS},
doi = {10.15420/cfr.2019.14},
journal = {Cardiac Failure Review},
pages = {e11--e11},
title = {Artificial intelligence, data sensors and interconnectivity: future Opportunities for heart failure},
url = {http://dx.doi.org/10.15420/cfr.2019.14},
volume = {6},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Bachtiger,P
AU  - Plymen,CM
AU  - Pabari,PA
AU  - Howard,JP
AU  - Whinnett,ZI
AU  - Opoku,F
AU  - Janering,S
AU  - Faisal,AA
AU  - Francis,DP
AU  - Peters,NS
DO  - 10.15420/cfr.2019.14
EP  - 11
PY  - 2020///
SN  - 2057-7540
SP  - 11
TI  - Artificial intelligence, data sensors and interconnectivity: future Opportunities for heart failure
T2  - Cardiac Failure Review
UR  - http://dx.doi.org/10.15420/cfr.2019.14
UR  - https://www.ncbi.nlm.nih.gov/pubmed/32514380
UR  - http://hdl.handle.net/10044/1/79991
VL  - 6
ER  -
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