Procuring & Using AI: What Radiographers Need to Know
Christina Malamateniou1 and Mark McEntee2
1City University Of London, United Kingdom, 2Radiography, University College Cork, Cork, Ireland

Synopsis

AI has the potential to improve the quality, safety and efficiency of care provided to patients by radiographers. However, when new algorithms are proposed clinicians must be convinced of their safety and effectiveness before implementation. New guidelines (regulatory frameworks, ethics and evaluation) attempt for the first time to provide a way of assessing AI. This paper aims to: i) review and discuss these guidelines for evaluation of AI tools in radiography, ii) consider how these may impact acceptability and adoption by healthcare practitioners,, iii) offer recommendations addressing any gaps in the radiographers’ knowledge on testing and procuring AI medical devices.

Artificial intelligence (AI) leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human mind. It is increasingly present in medical Imaging. AI is being used to improve how images are acquired, how they are processed, how different scans are organised throughout the day, and how disease is diagnosed. AI has the potential to improve the quality, safety and efficiency of care provided to patients by radiographers. However, when new algorithms are proposed or new uses of AI and suggested clinicians must be convinced of their safety and effectiveness before implementation.
There are some new guidelines (regulatory frameworks, ethics and evalution) that attempt for the first time to provide a way of assessing AI. This paper aims to: i) review and discuss these guidelines for evaluation of AI tools in medical imaging, ii) consider how these may impact acceptability and adoption by healthcare practitioners,, iii) offer recommendations that address any gaps in the radiographers’ knowledge on testing and procuring AI medical devices.

Acknowledgements

The Society and College of Radiographers CORIPS grant for funding this work

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Proc. Intl. Soc. Mag. Reson. Med. 30 (2022)