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Background <p>Artificial intelligence (AI) systems currently play a role across all areas of the patient journey and are supporting the work of radiologists. Despite radiology being at the interface of AI and medicine, there is a paucity of literature investigating the understanding, attitudes, and opinions of Irish radiologists regarding AI.</p> Aims <p>This study aimed to establish the knowledge, attitudes, and opinions of Irish radiologists regarding AI.</p> Methods <p>A 51-question national online survey was distributed to Irish radiology consultants, fellows, and trainees with questions thematically divided into: demographic data, knowledge and interest in AI, role changes, current and future applications, patient impact, ethics, and education.</p> Results <p>Of the 461 consultants, fellows, and trainees, 59 responded (12.8% response rate). Consultants were more likely to rate themselves as being ‘interested in informatics’ than fellows and trainees (mean = 73.0 versus 54.7) and felt more ‘prepared to implement AI in their daily practice’ compared to radiology fellows and trainees (mean = 55.3 versus 31.1). Respondents expressed a high level of ‘comfort with technology’, despite reporting lower confidence in their ‘understanding of AI’ and its ‘current applications’ (p = 0.001). The ‘time to learn’ AI was the most cited reason (42.0%) for barriers to AI education.</p> Conclusions <p>To enhance the current knowledge of AI and readiness to integrate it, the priority in Ireland should be to offer accessible education on AI to consultants, fellows, and trainees, so that all will have the confidence to embrace AI in their daily practice.</p>

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Artificial Intelligence in Radiology: Attitudes, Understanding, and Needs of the Community in Ireland

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年4月17日

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  • Ibraheem Khaleel Jameel,
  • Jonathan P. McNulty

摘要

Background

Artificial intelligence (AI) systems currently play a role across all areas of the patient journey and are supporting the work of radiologists. Despite radiology being at the interface of AI and medicine, there is a paucity of literature investigating the understanding, attitudes, and opinions of Irish radiologists regarding AI.

Aims

This study aimed to establish the knowledge, attitudes, and opinions of Irish radiologists regarding AI.

Methods

A 51-question national online survey was distributed to Irish radiology consultants, fellows, and trainees with questions thematically divided into: demographic data, knowledge and interest in AI, role changes, current and future applications, patient impact, ethics, and education.

Results

Of the 461 consultants, fellows, and trainees, 59 responded (12.8% response rate). Consultants were more likely to rate themselves as being ‘interested in informatics’ than fellows and trainees (mean = 73.0 versus 54.7) and felt more ‘prepared to implement AI in their daily practice’ compared to radiology fellows and trainees (mean = 55.3 versus 31.1). Respondents expressed a high level of ‘comfort with technology’, despite reporting lower confidence in their ‘understanding of AI’ and its ‘current applications’ (p = 0.001). The ‘time to learn’ AI was the most cited reason (42.0%) for barriers to AI education.

Conclusions

To enhance the current knowledge of AI and readiness to integrate it, the priority in Ireland should be to offer accessible education on AI to consultants, fellows, and trainees, so that all will have the confidence to embrace AI in their daily practice.