Artificial intelligence: Guidance for clinical imaging and therapeutic radiography workforce professionals.

Christina   Malamateniou; Sonyia McFadden; Yasmin  McQuinlan; Andrew  England; Nicholas  Woznitza; Simon  Goldsworthy; Claire  Currie; Emily  Skelton; Kwun-Ye  Chu; Noorayen  Alware; Paul  Matthews; Rebecca  Hawkesford; Richard  Tucker; Wendy  Town; Jackie  Matthew; Chris  Kalinka; Tracy  O’Regan

doi:https://www.sor.org/news/information-management-technology/sor-publishes-guidance-on-use-of-ai-in-radiography

Artificial intelligence: Guidance for clinical imaging and therapeutic radiography workforce professionals.

Christina Malamateniou
, Sonyia McFadden
, Yasmin McQuinlan
, Andrew England
, Nicholas Woznitza
, Simon Goldsworthy
, Claire Currie
, Emily Skelton
, Kwun-Ye Chu
, Noorayen Alware
, Paul Matthews
, Rebecca Hawkesford
, Richard Tucker
, Wendy Town
, Jackie Matthew
, Chris Kalinka
, Tracy O’Regan

Research output: Book/Report › Other report › peer-review

483 Downloads (Pure)

Abstract

New guidance from the SoR warns that clinicians must be involved in the co-construction and development of AI, to safeguard clinical practice and patient care.

The Society established a working group for AI following an earlier guidance statement in January 2020. The aim was to represent the voices of the radiographic workforce in the development of technology, helping to strengthen or improve care in clinical imaging and radiotherapy.

The new guidance, called Artificial intelligence: Guidance for clinical imaging and therapeutic radiography workforce professionals, says AI has the potential to make a ‘profound impact on clinical practice and patient care’

As such, it’s important for the profession to consider how radiographers will use AI and technology to provide better quality services, and crucial that patients and service users inform all development and are partners in research.

Original language	English
Publisher	The Society of Radiographers
ISBN (Electronic)	978-1-909802-63-6
DOIs	https://doi.org/https://www.sor.org/news/information-management-technology/sor-publishes-guidance-on-use-of-ai-in-radiography
Publication status	Published (in print/issue) - 19 Aug 2021

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
radiographers
Guidance
clinical imaging
therapeutic radiography

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AI-Guidance-for-clinical-imaging-and-therapeutic-radiography-workforce-professionals_LLv1Final published version, 389 KB

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Cite this

Malamateniou, C., McFadden, S., McQuinlan, Y., England, A., Woznitza, N., Goldsworthy, S., Currie, C., Skelton, E., Chu, K.-Y., Alware, N., Matthews, P., Hawkesford, R., Tucker, R., Town, W., Matthew, J., Kalinka, C., & O’Regan, T. (2021). Artificial intelligence: Guidance for clinical imaging and therapeutic radiography workforce professionals. The Society of Radiographers. https://doi.org/https://www.sor.org/news/information-management-technology/sor-publishes-guidance-on-use-of-ai-in-radiography

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abstract = "New guidance from the SoR warns that clinicians must be involved in the co-construction and development of AI, to safeguard clinical practice and patient care. The Society established a working group for AI following an earlier guidance statement in January 2020. The aim was to represent the voices of the radiographic workforce in the development of technology, helping to strengthen or improve care in clinical imaging and radiotherapy. The new guidance, called Artificial intelligence: Guidance for clinical imaging and therapeutic radiography workforce professionals, says AI has the potential to make a {\textquoteleft}profound impact on clinical practice and patient care{\textquoteright} As such, it{\textquoteright}s important for the profession to consider how radiographers will use AI and technology to provide better quality services, and crucial that patients and service users inform all development and are partners in research.",

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Malamateniou, C, McFadden, S, McQuinlan, Y, England, A, Woznitza, N, Goldsworthy, S, Currie, C, Skelton, E, Chu, K-Y, Alware, N, Matthews, P, Hawkesford, R, Tucker, R, Town, W, Matthew, J, Kalinka, C & O’Regan, T 2021, Artificial intelligence: Guidance for clinical imaging and therapeutic radiography workforce professionals. The Society of Radiographers. https://doi.org/https://www.sor.org/news/information-management-technology/sor-publishes-guidance-on-use-of-ai-in-radiography

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AU - McFadden, Sonyia

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AU - England, Andrew

AU - Woznitza, Nicholas

AU - Goldsworthy, Simon

AU - Currie, Claire

AU - Skelton, Emily

AU - Chu, Kwun-Ye

AU - Alware, Noorayen

AU - Matthews, Paul

AU - Hawkesford, Rebecca

AU - Tucker, Richard

AU - Town, Wendy

AU - Matthew, Jackie

AU - Kalinka, Chris

AU - O’Regan, Tracy

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N2 - New guidance from the SoR warns that clinicians must be involved in the co-construction and development of AI, to safeguard clinical practice and patient care. The Society established a working group for AI following an earlier guidance statement in January 2020. The aim was to represent the voices of the radiographic workforce in the development of technology, helping to strengthen or improve care in clinical imaging and radiotherapy. The new guidance, called Artificial intelligence: Guidance for clinical imaging and therapeutic radiography workforce professionals, says AI has the potential to make a ‘profound impact on clinical practice and patient care’ As such, it’s important for the profession to consider how radiographers will use AI and technology to provide better quality services, and crucial that patients and service users inform all development and are partners in research.

AB - New guidance from the SoR warns that clinicians must be involved in the co-construction and development of AI, to safeguard clinical practice and patient care. The Society established a working group for AI following an earlier guidance statement in January 2020. The aim was to represent the voices of the radiographic workforce in the development of technology, helping to strengthen or improve care in clinical imaging and radiotherapy. The new guidance, called Artificial intelligence: Guidance for clinical imaging and therapeutic radiography workforce professionals, says AI has the potential to make a ‘profound impact on clinical practice and patient care’ As such, it’s important for the profession to consider how radiographers will use AI and technology to provide better quality services, and crucial that patients and service users inform all development and are partners in research.

KW - AI

KW - radiographers

KW - Guidance

KW - clinical imaging

KW - therapeutic radiography

U2 - https://www.sor.org/news/information-management-technology/sor-publishes-guidance-on-use-of-ai-in-radiography

DO - https://www.sor.org/news/information-management-technology/sor-publishes-guidance-on-use-of-ai-in-radiography

M3 - Other report

BT - Artificial intelligence: Guidance for clinical imaging and therapeutic radiography workforce professionals.

PB - The Society of Radiographers

ER -

Artificial intelligence: Guidance for clinical imaging and therapeutic radiography workforce professionals.

Abstract

UN SDGs

Keywords

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