Attitudes of clinicians to a ‘human-like’ explainable AI based on pseudo-colouring of ECGs that exposes life-threatening anomalies

Lukas Hughes-Noehrer; Alaa Alahmadi; Leda Channer; Adina Rahim; Richard Body; Caroline Jay

doi:10.1016/j.jelectrocard.2024.06.009

Attitudes of clinicians to a ‘human-like’ explainable AI based on pseudo-colouring of ECGs that exposes life-threatening anomalies

Lukas Hughes-Noehrer, Alaa Alahmadi, Leda Channer, Adina Rahim, Richard Body, Caroline Jay

Research output: Contribution to journal › Meeting Abstract › peer-review

Original language	English
Pages (from-to)	4
Journal	Journal of Electrocardiology
Volume	85
Early online date	7 Aug 2024
DOIs	https://doi.org/10.1016/j.jelectrocard.2024.06.009
Publication status	E-pub ahead of print - 7 Aug 2024

Access to Document

10.1016/j.jelectrocard.2024.06.009

ECG-X: ECG-X: Making ECGs explainable with colour to support self-monitoring and early detection of life-threatening heart conditions
Jay, C. (PI) & Body, R. (CoI)
1/06/23 → 31/05/26
Project: Research

Cite this

@article{1106f18eebfe44559843e5361b165593,

title = "Attitudes of clinicians to a {\textquoteleft}human-like{\textquoteright} explainable AI based on pseudo-colouring of ECGs that exposes life-threatening anomalies",

author = "Lukas Hughes-Noehrer and Alaa Alahmadi and Leda Channer and Adina Rahim and Richard Body and Caroline Jay",

year = "2024",

month = aug,

day = "7",

doi = "10.1016/j.jelectrocard.2024.06.009",

language = "English",

volume = "85",

pages = "4",

journal = "Journal of Electrocardiology",

issn = "0022-0736",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - Attitudes of clinicians to a ‘human-like’ explainable AI based on pseudo-colouring of ECGs that exposes life-threatening anomalies

AU - Hughes-Noehrer, Lukas

AU - Alahmadi, Alaa

AU - Channer, Leda

AU - Rahim, Adina

AU - Body, Richard

AU - Jay, Caroline

PY - 2024/8/7

Y1 - 2024/8/7

U2 - 10.1016/j.jelectrocard.2024.06.009

DO - 10.1016/j.jelectrocard.2024.06.009

M3 - Meeting Abstract

SN - 0022-0736

VL - 85

SP - 4

JO - Journal of Electrocardiology

JF - Journal of Electrocardiology

ER -

Attitudes of clinicians to a ‘human-like’ explainable AI based on pseudo-colouring of ECGs that exposes life-threatening anomalies

Access to Document

Projects

ECG-X: ECG-X: Making ECGs explainable with colour to support self-monitoring and early detection of life-threatening heart conditions

Cite this