Assessment of the Willingness of Radiologists and Radiographers to Accept the Integration of Artificial Intelligence Into Radiology Practice

Rationale and Objectives: This study aimed to investigate radiologists' and radiographers' knowledge, perception, readiness, and chal-lenges regarding Artificial Intelligence (AI) integration into radiology practice. Materials and Methods: An electronically distributed cross-sectional study was conducted among radiologists and radiographers in the United Arab Emirates. The questionnaire captured the participants' demographics, qualifications, professional experience, and postgrad-uate training. Their knowledge, perception, organisational readiness, and challenges regarding AI integration into radiology were exam-ined. Results: There was a significant lack of knowledge and appreciation of the integration of AI into radiology practice. Organisations are stepping toward building AI implementation strategies. The availability of appropriate training courses is the main challenge for both radiographers and radiologists. Conclusion: The excitement of AI implementation into radiology practise was accompanied by a lack of knowledge and effort required to improve the user's appreciation of AI. The knowledge gap requires collaboration between educational institutes and professional bodies to develop structured training programs for radiologists and radiographers.

Automated summary

The study found a significant lack of knowledge and appreciation among radiologists and radiographers regarding the integration of Artificial Intelligence (AI) into radiology practice. While organizations are moving towards building AI implementation strategies, the main challenge identified is the availability of appropriate training courses for both radiographers and radiologists.