University Hospital and University of Bern, Freiburgstrasse, CH-3010 Bern, Switzerland.
Department of Diagnostic, Interventional and Pediatric Radiology, University Hospital and University of Bern, Freiburgstrasse, CH-3010 Bern, Switzerland.
Eur J Radiol. 2019 Dec;121:108742. doi: 10.1016/j.ejrad.2019.108742. Epub 2019 Nov 9.
To evaluate the opinion and assessment of radiologists, surgeons and medical students on a number of important topics regarding the future of radiology, such as artificial intelligence (AI), turf battles, teleradiology and 3D-printing.
An online questionnaire was created using the SurveyMonkey platform targeting radiologists, students and surgeons throughout the German speaking part of Switzerland. A total of 170 people participated in the survey (59 radiologists, 56 surgeons and 55 students). Statistical analysis was carried out using the Kruskal-Wallis test with Dunn's multiple comparison post-hoc tests.
While the majority of participants agreed that AI should be included as a support system in radiology (Likert scale 0-10: Median value 8), surgeons were less supportive than radiologists (p = 0.001). Students saw a potential threat of AI as more likely than radiologists did (p = 0.041). When asked whether they were concerned about "turf losses" from radiology to other disciplines, radiologists were much more likely to agree than students (p < 0.001). Of the students that do not intend to specialize in radiology, 26 % stated that AI was one of the reasons. Surgeons advocate the use of teleradiology.
With regard to AI, radiologists expect their workflow to become more efficient and tend to support the use of AI, whereas medical students and surgeons tend to be more skeptical towards this technology. Medical students see AI as a potential threat to diagnostic radiologists, while radiologists themselves are rather afraid of turf losses.
评估放射科医生、外科医生和医学生对放射学未来的一些重要话题的意见和看法,例如人工智能(AI)、 turf battles、远程放射学和 3D 打印。
使用 SurveyMonkey 平台创建了一个在线问卷,针对瑞士德语区的放射科医生、学生和外科医生。共有 170 人参与了调查(59 名放射科医生、56 名外科医生和 55 名学生)。使用 Kruskal-Wallis 检验和 Dunn 的多重比较后检验进行统计分析。
虽然大多数参与者同意 AI 应该作为放射科的支持系统纳入(Likert 量表 0-10:中位数 8),但外科医生的支持程度低于放射科医生(p=0.001)。学生认为 AI 的潜在威胁比放射科医生更有可能(p=0.041)。当被问及他们是否担心放射科向其他学科“失去地盘”时,放射科医生比学生更有可能同意(p<0.001)。在不打算专门从事放射科的学生中,有 26%表示 AI 是其中一个原因。外科医生提倡使用远程放射学。
关于 AI,放射科医生期望他们的工作流程变得更加高效,并倾向于支持使用 AI,而医学生和外科医生往往对这项技术持怀疑态度。医学生认为 AI 对诊断放射科医生构成潜在威胁,而放射科医生本身更担心失去地盘。