Suppr超能文献

胸腔床旁超声:SARS-CoV-2 的未来人工智能和机器学习数据仓库。

Thoracic Point-of-Care Ultrasound: A SARS-CoV-2 Data Repository for Future Artificial Intelligence and Machine Learning.

机构信息

Department of Surgery, 1267Anne Arundel Medical Center, Annapolis, MD, USA.

Department of Internal Medicine, 1267Anne Arundel Medical Center, Annapolis, MD, USA.

出版信息

Surg Innov. 2021 Apr;28(2):214-219. doi: 10.1177/15533506211018671. Epub 2021 May 7.

Abstract

Current experience suggests that artificial intelligence (AI) and machine learning (ML) may be useful in the management of hospitalized patients, including those with COVID-19. In light of the challenges faced with diagnostic and prognostic indicators in SARS-CoV-2 infection, our center has developed an international clinical protocol to collect standardized thoracic point of care ultrasound data in these patients for later AI/ML modeling. We surmise that in the future AI/ML may assist in the management of SARS-CoV-2 patients potentially leading to improved outcomes, and to that end, a corpus of curated ultrasound images and linked patient clinical metadata is an invaluable research resource.

摘要

目前的经验表明,人工智能 (AI) 和机器学习 (ML) 可能有助于管理住院患者,包括 COVID-19 患者。鉴于在 SARS-CoV-2 感染中诊断和预后指标面临的挑战,我们中心制定了一项国际临床方案,以收集这些患者的标准化胸部即时超声数据,用于以后的 AI/ML 建模。我们推测,未来 AI/ML 可能有助于管理 SARS-CoV-2 患者,从而有可能改善预后,为此,精心制作的超声图像库和相关的患者临床元数据是一项非常宝贵的研究资源。

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