Research Area:  Artificial Intelligence

Abstract:

To assess undergraduate medical students A total of 263 students (166 female, 94 male, median age 23 years) responded to the questionnaire. Around 52% were aware of the ongoing discussion about AI in radiology and 68% stated that they were unaware of the technologies involved. 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 improve radiology (77% and 86%), while disagreeing with statements that human radiologists will be replaced (83%). Over two-thirds agreed on the need for AI to be included in medical training (71%). In sub-group analyses male and tech-savvy respondents were more confident on the benefits of AI and less fearful of these technologies. attitudes towards artificial intelligence (AI) in radiology and medicine.A web-based questionnaire was designed using SurveyMonkey, and was sent out to students at three major medical schools. It consisted of various sections aiming to evaluate the students prior knowledge of AI in radiology and beyond, as well as their attitude towards AI in radiology specifically and in medicine in general. Respondents anonymity was ensured.

Keywords:  

Author(s) Name:  D. Pinto dos Santos, D. Giese, S. Brodehl, S. H. Chon, W. Staab, R. Kleinert, D. Maintz & B. Baeßler

Publisher name:  Springer

DOI:  https://doi.org/10.1007/s00330-018-5601-1

Volume Information:  Pape 1640–1646

Paper Link:   https://link.springer.com/article/10.1007/s00330-018-5601-1