Artificial intelligence in radiology: trainees want more.

Area of Science:

• Medical Imaging and Radiology
• Artificial Intelligence in Healthcare
• Medical Education Technology

Background:

• Artificial intelligence (AI) is rapidly evolving, with significant potential to impact various medical fields, including radiology.
• Understanding the perspectives of future radiologists is crucial for integrating AI effectively into clinical practice and education.

Purpose of the Study:

• To assess the attitudes of UK radiology trainees regarding the use of artificial intelligence (AI) in radiology.
• To determine the demand for AI education among radiology trainees in the UK.

Main Methods:

• A survey was developed using Google Forms and distributed via email to all UK radiology training programs.
• The survey collected responses from 149 trainee radiologists across all UK training programs over two months.

Main Results:

• A high percentage of trainees (83.7%) expressed interest in AI in radiology, with 79.9% wanting to be involved in AI projects.
• Nearly all respondents (98.7%) agreed AI should be taught in radiology training, yet only one program reported implementing AI teaching.
• Trainees prioritized learning basic understanding, implementation, and critical appraisal of AI software, with 74.2% believing AI will enhance diagnostic radiology in 20 years.

Conclusions:

• UK radiology trainees exhibit predominantly positive attitudes towards AI, with significant interest in AI-related projects, activities, and education.
• There is a clear demand for AI education within UK radiology training programs, despite the current limited availability of such training.
• Addressing trainees' concerns regarding IT/implementation and ethical/regulatory issues will be vital for successful AI integration.