Suppr超能文献

人工智能:一项全国范围在线调查得出的放射科医生的期望和意见。

Artificial intelligence: radiologists' expectations and opinions gleaned from a nationwide online survey.

机构信息

Department of Specialized, Diagnostic and Experimental Medicine (DIMES), S. Orsola Hospital, University of Bologna, Bologna, Italy.

Diagnostic and Interventional Radiology, Department of Translational Research, University of Pisa, Via Roma, 67, 56126, Pisa, Italy.

出版信息

Radiol Med. 2021 Jan;126(1):63-71. doi: 10.1007/s11547-020-01205-y. Epub 2020 Apr 29.

Abstract

PURPOSE

To report the results of a nationwide online survey on artificial intelligence (AI) among radiologist members of the Italian Society of Medical and Interventional Radiology (SIRM).

METHODS AND MATERIALS

All members were invited to the survey as an initiative by the Imaging Informatics Chapter of SIRM. The survey consisted of 13 questions about the participants' demographic information, perceived advantages and issues related to AI implementation in radiological practice, and their overall opinion about AI.

RESULTS

In total, 1032 radiologists (equaling 9.5% of active SIRM members for the year 2019) joined the survey. Perceived AI advantages included a lower diagnostic error rate (750/1027, 73.0%) and optimization of radiologists' work (697/1027, 67.9%). The risk of a poorer professional reputation of radiologists compared with non-radiologists (617/1024, 60.3%), and increased costs and workload due to AI system maintenance and data analysis (399/1024, 39.0%) were seen as potential issues. Most radiologists stated that specific policies should regulate the use of AI (933/1032, 90.4%) and were not afraid of losing their job due to it (917/1032, 88.9%). Overall, 77.0% of respondents (794/1032) were favorable to the adoption of AI, whereas 18.0% (186/1032) were uncertain and 5.0% (52/1032) were unfavorable.

CONCLUSIONS

Radiologists had a mostly positive attitude toward the implementation of AI in their working practice. They were not concerned that AI will replace them, but rather that it might diminish their professional reputation.

摘要

目的

报告意大利医学和介入放射学会(SIRM)放射科医师成员对人工智能(AI)的全国性在线调查结果。

方法和材料

该调查由 SIRM 影像学信息学分会发起,邀请所有成员参加。调查包括 13 个问题,涉及参与者的人口统计学信息、对 AI 在放射实践中的应用的感知优势和问题,以及他们对 AI 的总体看法。

结果

共有 1032 名放射科医生(相当于 2019 年活跃的 SIRM 成员的 9.5%)参加了调查。感知到的 AI 优势包括降低诊断错误率(750/1027,73.0%)和优化放射科医生的工作(697/1027,67.9%)。与非放射科医生相比,放射科医生的职业声誉变差(617/1024,60.3%),以及由于 AI 系统维护和数据分析而导致的成本和工作量增加(399/1024,39.0%)被视为潜在问题。大多数放射科医生表示,应制定特定政策来规范 AI 的使用(933/1032,90.4%),并且不会因 AI 而担心失业(917/1032,88.9%)。总体而言,77.0%的受访者(794/1032)赞成采用 AI,18.0%(186/1032)不确定,5.0%(52/1032)不赞成。

结论

放射科医生对在工作实践中实施 AI 持积极态度。他们并不担心 AI 会取代他们,而是担心 AI 可能会降低他们的职业声誉。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验