Artificial intelligence in radiology: trainees want more

O.-U. Hashmi* (Corresponding Author), N. Chan, C.F. de Vries, A. Gangi, L. Jehanli, G. Lip

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Aim To understand the attitudes of UK radiology trainees towards artificial intelligence (AI) in Radiology, in particular, assessing the demand for AI education. Materials and methods A survey, which ran over a period of 2 months, was created using the Google Forms platform and distributed via email to all UK training programmes. Results The survey was completed by 149 trainee radiologists with at least one response from all UK training programmes. Of the responses, 83.7% were interested in AI use in radiology but 71.4% had no experience of working with AI and 79.9% would like to be involved in AI-based projects. Almost all (98.7%) felt that AI should be taught during their training, yet only one respondent stated that their training programme had implemented AI teaching. Respondents indicated that basic understanding, implementation, and critical appraisal of AI software should be prioritized in teaching. Of the trainees, 74.2% agreed that AI would enhance the job of diagnostic radiologists over the next 20 years. The main concerns raised were information technology/implementation and ethical/regulatory issues. Conclusion Despite the current limited availability of AI-based activities and teaching within UK training programmes, UK trainees' attitudes towards AI are mostly positive with many showing interest in being involved with AI-based projects, activities, and teaching.
Original languageEnglish
Number of pages6
JournalClinical Radiology
Early online date19 Jan 2023
Publication statusE-pub ahead of print - 19 Jan 2023


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