Medical Students Attitude Towards Artificial Intelligence: A Multicentre Survey

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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 ought to take the lead in educating students about these emerging technologies. Respondents’ anonymity was ensured. A web-primarily based questionnaire was created employing SurveyMonkey, and was sent out to students at three key healthcare schools. It consisted of a variety of sections aiming to evaluate the students’ prior information 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 in a position to establish a definite diagnosis (56%). The majority agreed that AI will revolutionise and strengthen radiology (77% and 86%), while disagreeing with statements that human radiologists will be replaced (83%). More than two-thirds agreed on the need for AI to be incorporated in healthcare coaching (71%). If you have any queries regarding where and how to use Avene reviews, you can get hold of us at the web site. In sub-group analyses male and tech-savvy respondents were more confident on the positive aspects of AI and much less fearful of these technologies. Around 52% have been conscious 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 possible applications and implications of AI on radiology and medicine.

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