Explainable-by-Design: Challenges, Pitfalls, and Opportunities for the Clinical Adoption of AI-Enabled ECG

Salah Al-Zaiti; RR Bond

doi:10.1016/j.jelectrocard.2023.08.006

Explainable-by-Design: Challenges, Pitfalls, and Opportunities for the Clinical Adoption of AI-Enabled ECG  

Salah Al-Zaiti
, RR Bond

University of Pittsburgh

Research output: Contribution to journal › Editorial › peer-review

9 Citations (Scopus)

19 Downloads (Pure)

Abstract

n/a

Original language	English
Pages (from-to)	292-294
Number of pages	3
Journal	Journal of Electrocardiology
Volume	81
Early online date	15 Aug 2023
DOIs	https://doi.org/10.1016/j.jelectrocard.2023.08.006
Publication status	Published (in print/issue) - 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

AI
XAI
Explainable AI
ECG

Access to Document

10.1016/j.jelectrocard.2023.08.006

Editorial on JECG-D-22-00564R2_FinalAuthor Accepted Manuscript, 414 KBLicence: CC BY-NC-ND

Cite this

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title = "Explainable-by-Design: Challenges, Pitfalls, and Opportunities for the Clinical Adoption of AI-Enabled ECG  ",

abstract = "n/a",

keywords = "AI, XAI, Explainable AI, ECG",

author = "Salah Al-Zaiti and RR Bond",

year = "2023",

doi = "10.1016/j.jelectrocard.2023.08.006",

language = "English",

volume = "81",

pages = "292--294",

journal = "Journal of Electrocardiology",

issn = "0022-0736",

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TY - JOUR

T1 - Explainable-by-Design: Challenges, Pitfalls, and Opportunities for the Clinical Adoption of AI-Enabled ECG  

AU - Al-Zaiti, Salah

AU - Bond, RR

PY - 2023

Y1 - 2023

N2 - n/a

AB - n/a

KW - AI

KW - XAI

KW - Explainable AI

KW - ECG

UR - https://www.sciencedirect.com/science/article/abs/pii/S0022073623001905

UR - https://www.scopus.com/pages/publications/85171186552

U2 - 10.1016/j.jelectrocard.2023.08.006

DO - 10.1016/j.jelectrocard.2023.08.006

M3 - Editorial

C2 - 37635030

SN - 0022-0736

VL - 81

SP - 292

EP - 294

JO - Journal of Electrocardiology

JF - Journal of Electrocardiology

ER -

Explainable-by-Design: Challenges, Pitfalls, and Opportunities for the Clinical Adoption of AI-Enabled ECG

Abstract

UN SDGs

Keywords

Access to Document

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