Suppr超能文献

人工智能赋能放射科报告。

Artificial Intelligence Enabling Radiology Reporting.

机构信息

Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Founders 210, Boston, MA 02114, USA.

Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115, USA.

出版信息

Radiol Clin North Am. 2021 Nov;59(6):1045-1052. doi: 10.1016/j.rcl.2021.07.004.

Abstract

The radiology reporting process is beginning to incorporate structured, semantically labeled data. Tools based on artificial intelligence technologies using a structured reporting context can assist with internal report consistency and longitudinal tracking. To-do lists of relevant issues could be assembled by artificial intelligence tools, incorporating components of the patient's history. Radiologists will review and select artificial intelligence-generated and other data to be transmitted to the electronic health record and generate feedback for ongoing improvement of artificial intelligence tools. These technologies should make reports more valuable by making reports more accessible and better able to integrate into care pathways.

摘要

放射学报告流程开始采用结构化、语义标记数据。基于人工智能技术的工具,利用结构化报告环境,可以帮助实现内部报告的一致性和纵向跟踪。人工智能工具可以通过整合患者病史的组成部分,来制定相关问题的待办事项列表。放射科医生将对人工智能生成的数据和其他需要传输到电子健康记录的数据进行审查和选择,并为人工智能工具的持续改进提供反馈。这些技术可以通过提高报告的可访问性和更好地整合到护理路径中来使报告更有价值。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验