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Artificial Intelligence in Radiology: Trainees Want More by O.-U. Hashmi; N. Chan; C.F. de Vries; A. Gangi; L. Jehanli; G. Lip is a Medicine article available to read on EtoBox.

What is Artificial Intelligence in Radiology: Trainees Want More about?

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 activi

Who reads Artificial Intelligence in Radiology: Trainees Want More?

Author

O.-U. Hashmi; N. Chan; C.F. de Vries; A. Gangi; L. Jehanli; G. Lip

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Medicine (Health Sciences)