Department of Musculoskeletal Radiology, University Hospital of Lille, 59037 Lille, France.
Department of Musculoskeletal Radiology, University Hospital of Lille, 59037 Lille, France; Lille Medical School, University of Lille, 59045 Lille, France.
Diagn Interv Imaging. 2019 Jun;100(6):327-336. doi: 10.1016/j.diii.2019.03.015. Epub 2019 May 6.
The purpose of this study was to assess the perception, knowledge, wishes and expectations of a sample of French radiologists towards the rise of artificial intelligence (AI) in radiology.
A general data protection regulation-compliant electronic survey was sent by e-mail to the 617 radiologists registered in the French departments of Nord and Pas-de-Calais (93 radiology residents and 524 senior radiologists), from both public and private institutions. The survey included 42 questions focusing on AI in radiology, and data were collected between January 16 and January 31, 2019. The answers were analyzed together by a senior radiologist and a radiology resident.
A total of 70 radiology residents and 200 senior radiologists participated to the survey, which corresponded to a response rate of 43.8% (270/617). One hundred ninety-eight radiologists (198/270; 73.3%) estimated they had received insufficient previous information on AI. Two hundred and fifty-five respondents (255/270; 94.4%) would consider attending a generic continuous medical education in this field and 187 (187/270; 69.3%) a technically advanced training on AI. Two hundred and fourteen respondents (214/270; 79.3%) thought that AI will have a positive impact on their future practice. The highest expectations were the lowering of imaging-related medical errors (219/270; 81%), followed by the lowering of the interpretation time of each examination (201/270; 74.4%) and the increase in the time spent with patients (141/270; 52.2%).
While respondents had the feeling of receiving insufficient previous information on AI, they are willing to improve their knowledge and technical skills on this field. They share an optimistic view and think that AI will have a positive impact on their future practice. A lower risk of imaging-related medical errors and an increase in the time spent with patients are among their main expectations.
本研究旨在评估法国放射科医生对人工智能（AI）在放射学中兴起的看法、知识、愿望和期望。
我们遵循一般数据保护条例，通过电子邮件向法国北部加来海峡省（Nord-Pas-de-Calais）的 617 名放射科医生（包括 93 名住院医师和 524 名资深放射科医生）发送了一份综合调查。该调查包含 42 个问题，重点关注放射学中的 AI 问题，调查时间为 2019 年 1 月 16 日至 1 月 31 日。由一名资深放射科医生和一名放射科住院医师共同对调查结果进行分析。
共有 70 名住院医师和 200 名资深放射科医生参与了调查，回应率为 43.8%（270/617）。198 名放射科医生（198/270；73.3%）认为他们之前对 AI 的了解不够充分。255 名受访者（255/270；94.4%）表示愿意参加该领域的一般性继续医学教育，187 名（187/270；69.3%）表示愿意参加 AI 方面的技术高级培训。214 名受访者（214/270；79.3%）认为 AI 将对他们未来的工作产生积极影响。受访者期望最高的是降低与成像相关的医疗错误（219/270；81%），其次是降低每次检查的解释时间（201/270；74.4%）和增加与患者相处的时间（141/270；52.2%）。
尽管受访者认为他们之前对 AI 的了解不够充分，但他们愿意提高这方面的知识和技术技能。他们对 AI 持乐观态度，并认为 AI 将对他们未来的工作产生积极影响。降低与成像相关的医疗错误风险和增加与患者相处的时间是他们的主要期望之一。
