Chief Medical Officer ACR Data Science Institute, Department of Radiology, Grandview Medical Center, Birmingham, Alabama.
Lenox Hill Radiology, New York, New York.
J Am Coll Radiol. 2021 Aug;18(8):1153-1159. doi: 10.1016/j.jacr.2021.04.002. Epub 2021 Apr 20.
The ACR Data Science Institute conducted its first annual survey of ACR members to understand how radiologists are using artificial intelligence (AI) in clinical practice and to provide a baseline for monitoring trends in AI use over time.
The ACR Data Science Institute sent a brief electronic survey to all ACR members via email. Invitees were asked for demographic information about their practice and if and how they were currently using AI as part of their clinical work. They were also asked to evaluate the performance of AI models in their practices and to assess future needs.
Approximately 30% of radiologists are currently using AI as part of their practice. Large practices were more likely to use AI than smaller ones, and of those using AI in clinical practice, most were using AI to enhance interpretation, most commonly detection of intracranial hemorrhage, pulmonary emboli, and mammographic abnormalities. Of practices not currently using AI, 20% plan to purchase AI tools in the next 1 to 5 years.
The survey results indicate a modest penetrance of AI in clinical practice. Information from the survey will help researchers and industry develop AI tools that will enhance radiological practice and improve quality and efficiency in patient care.
ACR 数据科学研究所对 ACR 成员进行了首次年度调查，以了解放射科医生如何在临床实践中使用人工智能 (AI)，并为监测 AI 使用趋势随时间的变化提供基线。
ACR 数据科学研究所通过电子邮件向所有 ACR 成员发送了一份简短的电子调查。邀请者被要求提供有关其实践的人口统计学信息，以及他们是否正在将 AI 作为其临床工作的一部分使用，并要求他们评估 AI 模型在其实践中的性能，并评估未来的需求。
约 30%的放射科医生目前正在将 AI 应用于其工作中。大型实践比小型实践更有可能使用 AI，而在临床实践中使用 AI 的人中，大多数人使用 AI 来增强解释，最常见的是检测颅内出血、肺栓塞和乳房 X 线异常。目前未使用 AI 的实践中，有 20%计划在未来 1 至 5 年内购买 AI 工具。
调查结果表明，AI 在临床实践中的应用率适中。调查信息将帮助研究人员和行业开发 AI 工具，从而增强放射科实践，并提高患者护理的质量和效率。
