Health-related Students Attitude Towards Artificial Intelligence: A Multicentre Survey
To assess undergraduate healthcare students’ attitudes towards artificial intelligence (AI) in radiology and medicine. A total of 263 students (166 female, 94 male, median age 23 years) responded to the questionnaire. Radiology must take the lead in educating students about these emerging technologies. Respondents’ anonymity was ensured. A web-based questionnaire was created using SurveyMonkey, and was sent out to students at 3 big health-related schools. It consisted of different sections aiming to evaluate the students’ prior expertise of AI in radiology and beyond, as nicely as their attitude towards AI in radiology specifically and in medicine in general. Respondents agreed that AI could potentially detect pathologies in radiological examinations (83%) but felt that AI would not be able to establish a definite diagnosis (56%). The majority agreed that AI will revolutionise and strengthen radiology (77% and 86%), although disagreeing with statements that human radiologists will be replaced (83%). Over two-thirds agreed on the will need for AI to be integrated in health-related training (71%). In sub-group analyses male and tech-savvy respondents had been more confident on the positive aspects of AI and much less fearful of these technologies. Around 52% have been aware of the ongoing discussion about AI in radiology and 68% stated that they were unaware of the technologies involved. Contrary to anecdotes published in the media, undergraduate medical students do not be concerned that AI will replace human radiologists, and are aware of the prospective applications and implications of AI on radiology and medicine.
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