Perceptions and perspectives of therapeutic radiographers on the use of Artificial Intelligence in a Clinical Setting –a UK study

Y. McQuinlan; R. Hawkesford; Kwun-Ye  Chu; Clare Rainey; Ciara Hughes; RR Bond; E. Skelton; S Goodman; J Matthew; T. O'Regan; N Woznitza; Jonathan McConnell; C. Malamateniou; Sonyia McFadden

doi:10.26044/ecr2023/C-19722

Perceptions and perspectives of therapeutic radiographers on the use of Artificial Intelligence in a Clinical Setting –a UK study

Y. McQuinlan
, R. Hawkesford
, Kwun-Ye Chu
, Clare Rainey
, Ciara Hughes
, RR Bond
, E. Skelton
, S Goodman
, J Matthew
, T. O'Regan
, N Woznitza
, Jonathan McConnell
, C. Malamateniou
, Sonyia McFadden

Research output: Contribution to conference › Abstract › peer-review

Original language	English
Pages	C-19722
DOIs	https://doi.org/10.26044/ecr2023/C-19722 https://doi.org/10.26044/ecr2023/C-19722
Publication status	Published online - 9 May 2023
Event	European Congress of Radiology 2023 - Austria, Vienna, Austria Duration: 1 Mar 2023 → 5 Mar 2023 https://www.myesr.org/congress

Conference

Conference	European Congress of Radiology 2023
Abbreviated title	ECR 2023
Country/Territory	Austria
City	Vienna
Period	1/03/23 → 5/03/23
Internet address	https://www.myesr.org/congress

UN SDGs

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

SDG 3 Good Health and Well-being
SDG 4 Quality Education

Keywords

AI
THERAPEUTIC RADIOGRAPHY

Access to Document

10.26044/ecr2023/C-19722Licence: Unspecified
10.26044/ecr2023/C-19722Licence: Unspecified

Artificial intelligence in radiographic image interpretation: an investigation of the impact of an AI model on diagnostic accuracy, trust and decision switching in radiographers.
Rainey, C. (Author), Bond, R. (Supervisor), Hughes, C. (Supervisor), Mc Fadden, S. (Supervisor) & McConnell, J. (Supervisor), Nov 2023
Student thesis: Doctoral Thesis

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Cite this

McQuinlan, Y., Hawkesford, R., Chu, K.-Y., Rainey, C., Hughes, C., Bond, RR., Skelton, E., Goodman, S., Matthew, J., O'Regan, T., Woznitza, N., McConnell, J., Malamateniou, C., & McFadden, S. (2023). Perceptions and perspectives of therapeutic radiographers on the use of Artificial Intelligence in a Clinical Setting –a UK study. C-19722. Abstract from European Congress of Radiology 2023, Vienna, Austria. Advance online publication. https://doi.org/10.26044/ecr2023/C-19722, https://doi.org/10.26044/ecr2023/C-19722

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title = "Perceptions and perspectives of therapeutic radiographers on the use of Artificial Intelligence in a Clinical Setting –a UK study",

keywords = "AI, THERAPEUTIC RADIOGRAPHY",

author = "Y. McQuinlan and R. Hawkesford and Kwun-Ye Chu and Clare Rainey and Ciara Hughes and RR Bond and E. Skelton and S Goodman and J Matthew and T. O'Regan and N Woznitza and Jonathan McConnell and C. Malamateniou and Sonyia McFadden",

year = "2023",

month = may,

day = "9",

doi = "10.26044/ecr2023/C-19722",

language = "English",

pages = "C--19722",

note = "European Congress of Radiology 2023, ECR 2023 ; Conference date: 01-03-2023 Through 05-03-2023",

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}

McQuinlan, Y, Hawkesford, R, Chu, K-Y, Rainey, C, Hughes, C , Bond, RR, Skelton, E, Goodman, S, Matthew, J, O'Regan, T, Woznitza, N, McConnell, J, Malamateniou, C & McFadden, S 2023, 'Perceptions and perspectives of therapeutic radiographers on the use of Artificial Intelligence in a Clinical Setting –a UK study', European Congress of Radiology 2023, Vienna, Austria, 1/03/23 - 5/03/23 pp. C-19722. https://doi.org/10.26044/ecr2023/C-19722, https://doi.org/10.26044/ecr2023/C-19722

TY - CONF

T1 - Perceptions and perspectives of therapeutic radiographers on the use of Artificial Intelligence in a Clinical Setting –a UK study

AU - McQuinlan, Y.

AU - Hawkesford, R.

AU - Chu, Kwun-Ye

AU - Rainey, Clare

AU - Hughes, Ciara

AU - Bond, RR

AU - Skelton, E.

AU - Goodman, S

AU - Matthew, J

AU - O'Regan, T.

AU - Woznitza, N

AU - McConnell, Jonathan

AU - Malamateniou, C.

AU - McFadden, Sonyia

PY - 2023/5/9

Y1 - 2023/5/9

KW - AI

KW - THERAPEUTIC RADIOGRAPHY

U2 - 10.26044/ecr2023/C-19722

DO - 10.26044/ecr2023/C-19722

M3 - Abstract

SP - C-19722

T2 - European Congress of Radiology 2023

Y2 - 1 March 2023 through 5 March 2023

ER -

Perceptions and perspectives of therapeutic radiographers on the use of Artificial Intelligence in a Clinical Setting –a UK study

Conference

UN SDGs

Keywords

Access to Document

Student theses

Artificial intelligence in radiographic image interpretation: an investigation of the impact of an AI model on diagnostic accuracy, trust and decision switching in radiographers.

Cite this