Medical students' attitude towards artificial intelligence: a multicentre survey
Medical students' attitude towards artificial intelligence: a multicentre survey
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医学生对人工智能的态度：多中心调查
DOI：
10.1007/s00330-018-5601-1
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发表时间：
2019-04-01
影响因子：
5.9
通讯作者：
Baessler, B.
中科院分区：
文献类型：
--
作者：
dos Santos, D. Pinto;Giese, D.;Baessler, B.
目的了解本科生在放射学和医学领域对人工智能(AI)的态度。材料与方法利用SurveyMonkey设计网络问卷，对三所主要医学院校的学生进行问卷调查。它由多个部分组成，旨在评估学生在放射学和其他领域对人工智能的先验知识，以及他们对放射学领域和一般医学领域的人工智能的态度。结果共有263名学生(女性166人，男性94人，年龄中位数23岁)进行了问卷调查。大约52%的人知道放射学中正在进行的关于人工智能的讨论，68%的人表示他们不知道涉及的技术。受访者同意人工智能可能会在放射检查中检测到病理(83%)，但认为人工智能无法确定诊断(56%)。大多数人同意人工智能将彻底改变和改进放射学(77%和86%)，但不同意人类放射科医生将被取代的说法(83%)。超过三分之二的人同意有必要将人工智能纳入医疗培训(71%)。在分组分析中，男性和精通技术的受访者对人工智能的好处更有信心，对这些技术不那么害怕。结论与媒体上发表的轶事不同，本科生并不担心人工智能将取代人类放射科医生，并意识到人工智能在放射学和医学上的潜在应用和影响。放射学应该带头教育学生这些新兴技术。关键点中心点医学生意识到人工智能在放射学和一般医学中的潜在应用和影响。中心点医学生不担心人类放射科医生或内科医生会被取代。中心点人工智能应该包括在医学培训中。
ObjectivesTo assess undergraduate medical students' attitudes towards artificial intelligence (AI) in radiology and medicine.Materials and methodsA 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.ResultsA 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.ConclusionContrary to anecdotes published in the media, undergraduate medical students do not worry that AI will replace human radiologists, and are aware of the potential applications and implications of AI on radiology and medicine. Radiology should take the lead in educating students about these emerging technologies.Key Points center dot Medical students are aware of the potential applications and implications of AI in radiology and medicine in general.center dot Medical students do not worry that the human radiologist or physician will be replaced.center dot Artificial intelligence should be included in medical training.