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Interventional radiology and artificial intelligence in radiology: Is it time to enhance the vision of our medical students?
Insights into Imaging ( IF 4.1 ) Pub Date : 2020-11-30 , DOI: 10.1186/s13244-020-00942-y Pierre Auloge 1 , Julien Garnon 1 , Joey Marie Robinson 1, 2 , Sarah Dbouk 1 , Jean Sibilia 2 , Marc Braun 3, 4 , Dominique Vanpee 5 , Guillaume Koch 1 , Roberto Luigi Cazzato 1 , Afshin Gangi 1
Insights into Imaging ( IF 4.1 ) Pub Date : 2020-11-30 , DOI: 10.1186/s13244-020-00942-y Pierre Auloge 1 , Julien Garnon 1 , Joey Marie Robinson 1, 2 , Sarah Dbouk 1 , Jean Sibilia 2 , Marc Braun 3, 4 , Dominique Vanpee 5 , Guillaume Koch 1 , Roberto Luigi Cazzato 1 , Afshin Gangi 1
Affiliation
To assess awareness and knowledge of Interventional Radiology (IR) in a large population of medical students in 2019. An anonymous survey was distributed electronically to 9546 medical students from first to sixth year at three European medical schools. The survey contained 14 questions, including two general questions on diagnostic radiology (DR) and artificial intelligence (AI), and 11 on IR. Responses were analyzed for all students and compared between preclinical (PCs) (first to third year) and clinical phase (Cs) (fourth to sixth year) of medical school. Of 9546 students, 1459 students (15.3%) answered the survey. On DR questions, 34.8% answered that AI is a threat for radiologists (PCs: 246/725 (33.9%); Cs: 248/734 (36%)) and 91.1% thought that radiology has a future (PCs: 668/725 (92.1%); Cs: 657/734 (89.5%)). On IR questions, 80.8% (1179/1459) students had already heard of IR; 75.7% (1104/1459) stated that their knowledge of IR wasn’t as good as the other specialties and 80% would like more lectures on IR. Finally, 24.2% (353/1459) indicated an interest in a career in IR with a majority of women in preclinical phase, but this trend reverses in clinical phase. Development of new technology supporting advances in artificial intelligence will likely continue to change the landscape of radiology; however, medical students remain confident in the need for specialty-trained human physicians in the future of radiology as a clinical practice. A large majority of medical students would like more information about IR in their medical curriculum; almost a quarter of students would be interested in a career in IR.
中文翻译:
介入放射学和放射学人工智能:是时候增强我们医学生的视野了吗?
旨在评估 2019 年大量医学生对介入放射学 (IR) 的认识和知识。一项匿名调查以电子方式分发给三所欧洲医学院一年级至六年级的 9546 名医学生。该调查包含 14 个问题,其中包括关于诊断放射学 (DR) 和人工智能 (AI) 的 2 个一般问题,以及 11 个关于 IR 的问题。对所有学生的反应进行了分析,并对医学院的临床前 (PC)(第一年至第三年)和临床阶段 (Cs)(第四年至第六年)进行了比较。在 9546 名学生中,有 1459 名学生(15.3%)回答了调查。在 DR 问题上,34.8% 的人回答人工智能对放射科医生构成威胁(PC:246/725 (33.9%);Cs:248/734 (36%)),91.1% 认为放射学有未来(PC:668/725) (92.1%);铯:657/734(89.5%))。在IR问题上,80.8%(1179/1459)的学生已经听说过IR; 75.7% (1104/1459) 表示自己对IR 的了解不如其他专业,80% 希望更多有关IR 的讲座。最后,24.2% (353/1459) 表示对 IR 职业感兴趣,其中大多数女性处于临床前阶段,但这一趋势在临床阶段逆转。支持人工智能进步的新技术的发展可能会继续改变放射学的格局;然而,医学生仍然对放射学作为临床实践的未来需要经过专业培训的人类医生充满信心。绝大多数医学生希望在医学课程中了解更多有关 IR 的信息;近四分之一的学生对 IR 职业感兴趣。
更新日期:2020-12-01
中文翻译:
介入放射学和放射学人工智能:是时候增强我们医学生的视野了吗?
旨在评估 2019 年大量医学生对介入放射学 (IR) 的认识和知识。一项匿名调查以电子方式分发给三所欧洲医学院一年级至六年级的 9546 名医学生。该调查包含 14 个问题,其中包括关于诊断放射学 (DR) 和人工智能 (AI) 的 2 个一般问题,以及 11 个关于 IR 的问题。对所有学生的反应进行了分析,并对医学院的临床前 (PC)(第一年至第三年)和临床阶段 (Cs)(第四年至第六年)进行了比较。在 9546 名学生中,有 1459 名学生(15.3%)回答了调查。在 DR 问题上,34.8% 的人回答人工智能对放射科医生构成威胁(PC:246/725 (33.9%);Cs:248/734 (36%)),91.1% 认为放射学有未来(PC:668/725) (92.1%);铯:657/734(89.5%))。在IR问题上,80.8%(1179/1459)的学生已经听说过IR; 75.7% (1104/1459) 表示自己对IR 的了解不如其他专业,80% 希望更多有关IR 的讲座。最后,24.2% (353/1459) 表示对 IR 职业感兴趣,其中大多数女性处于临床前阶段,但这一趋势在临床阶段逆转。支持人工智能进步的新技术的发展可能会继续改变放射学的格局;然而,医学生仍然对放射学作为临床实践的未来需要经过专业培训的人类医生充满信心。绝大多数医学生希望在医学课程中了解更多有关 IR 的信息;近四分之一的学生对 IR 职业感兴趣。