Artificial intelligence in diagnostic imaging: impact on the radiography profession

Hardy, Maryann; Harvey, Hugh

doi:10.1259/bjr.20190840

Cited by 133 publications

(97 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Adaptability will be a vital standpoint for those navigating immediate pandemic-related challenges and also ongoing professional revolutions such as automation and AI. 15,16 Using more than one clinical education department and elective placements are recognised ways to promote student adaptability through exposure to different ideas, practices and team cultures. 5,17 Work by the King's Fund suggests that incorporating theory and practice of compassionate leadership into undergraduate curricula, and even earlier at NHS cadet scheme level, 18 is also likely to contribute significant benefits to the individual and collective response to a health service crisis.…”

Section: Discussionmentioning

confidence: 99%

Expectations of therapeutic radiography students in Wales about transitioning to practice during the Covid-19 pandemic as registrants on the HCPC temporary register

et al. 2021

View full text Add to dashboard Cite

Introduction: The Covid-19 crisis continues to profoundly impact on radiotherapy practice in the UK. We explore the views of therapeutic radiographer students on entering their first post in unique circumstances as a means to evaluate the support that may minimise negative impacts on their transition to practitioners. Method: Focus groups were conducted outside of students' final year educational programme and immediately prior to them starting work. Qualitative data were analysed using a framework analysis. Results: Emergent themes from the eleven participants were: Covid-19 as a layer on top of underlying anxieties; Degree of readiness for imminent psychological, emotional and practical challenges; Feeling valued as a health professional/radiographer at this time; A mixed student and qualified staff professional identity as HCPC temporary registrants. Conclusion: Uncertainties related to Covid-19 were seen to add a destabilising component to existing anxieties and challenges. In this context, there are significant risks of impaired professional socialisation due to incongruence between students' expectations and the reality in clinical departments. Implications for practice: Informed academic support and flexible clinical preceptorship that address anxieties and congruence barriers are vital to guide new practitioners through a health crisis that presents significant challenges but also opportunity for professional development.

show abstract

Section: Discussionmentioning

confidence: 99%

Expectations of therapeutic radiography students in Wales about transitioning to practice during the Covid-19 pandemic as registrants on the HCPC temporary register

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Notwithstanding, the medical community must anticipate the potential unknowns and professional requirements of this technology to ensure effective, continuous and safe incorporation into diagnostic imaging practice [ 1 , 10 , 13 ]. This has initiated arguments about the roles and responsibilities of imaging professionals who will use this technology, particularly, radiographers and radiologists [ 13 , 14 ]. Lewis and colleagues [ 4 ] reported that some radiographers may have a scary or exciting perception about AI, and these could be heightened by the thought of having an ‘AI work colleague’ in the radiology department.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives

2021

View full text Add to dashboard Cite

Purpose Studies have documented the clinical potentials of artificial intelligence (AI) in medical imaging practice to improving patient care. This study aimed to qualitatively explore the perception of radiographers relating to the integration of AI in medical imaging practice in Africa. Methods The study employed a qualitative design using an open-ended online instrument administered between March and August 2020. Participants consisted of radiographers working within Africa during the time of the study. Data obtained were analysed using qualitative content analysis. Six themes of concerns were generated: expectant tool; career insecurity; cost of new technology, equipment preservation and data insecurity; service delivery quality; need for expanding AI awareness. Results A total of 475 valid responses were obtained. Participants demonstrated a positive outlook about AI in relation to clinical quality improvement, competent diagnosis, radiation dose reduction and improvement in research. They however expressed concerns relating to the implementation of this technology, including job security and loss of core professional radiographer skills and roles. In addition, concerns regarding AI equipment maintenance, lack of awareness about AI and education and training opportunities were evident. Conclusion Awareness of the importance of AI in medical imaging practice was acknowledged; however, concerns relating to job security, data protection must be given critical attention for successful implementation of these advanced technologies in medical imaging in Africa. Inclusion of AI modules in the training of future radiographers is highly recommended.

show abstract

“…However, there is the potential for AI to contribute to and help in the automated examinations of referrals, checking the clinical indications and confirming the patient’s identification via an interface with the Electronic Health Record. AI technologies can also assist in imaging modality techniques and processes [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Radiology Community Attitude in Saudi Arabia about the Applications of Artificial Intelligence in Radiology

et al. 2021

View full text Add to dashboard Cite

Artificial intelligence (AI) is a broad, umbrella term that encompasses the theory and development of computer systems able to perform tasks normally requiring human intelligence. The aim of this study is to assess the radiology community’s attitude in Saudi Arabia toward the applications of AI. Methods: Data for this study were collected using electronic questionnaires in 2019 and 2020. The study included a total of 714 participants. Data analysis was performed using SPSS Statistics (version 25). Results: The majority of the participants (61.2%) had read or heard about the role of AI in radiology. We also found that radiologists had statistically different responses and tended to read more about AI compared to all other specialists. In addition, 82% of the participants thought that AI must be included in the curriculum of medical and allied health colleges, and 86% of the participants agreed that AI would be essential in the future. Even though human–machine interaction was considered to be one of the most important skills in the future, 89% of the participants thought that it would never replace radiologists. Conclusion: Because AI plays a vital role in radiology, it is important to ensure that radiologists and radiographers have at least a minimum understanding of the technology. Our finding shows an acceptable level of knowledge regarding AI technology and that AI applications should be included in the curriculum of the medical and health sciences colleges.

show abstract

Artificial intelligence in diagnostic imaging: impact on the radiography profession

Cited by 133 publications

References 55 publications

Expectations of therapeutic radiography students in Wales about transitioning to practice during the Covid-19 pandemic as registrants on the HCPC temporary register

Expectations of therapeutic radiography students in Wales about transitioning to practice during the Covid-19 pandemic as registrants on the HCPC temporary register

Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives

Radiology Community Attitude in Saudi Arabia about the Applications of Artificial Intelligence in Radiology

Contact Info

Product

Resources

About