Department of Surgery, 1267Anne Arundel Medical Center, Annapolis, MD, USA.
Department of Internal Medicine, 1267Anne Arundel Medical Center, Annapolis, MD, USA.
Surg Innov. 2021 Apr;28(2):214-219. doi: 10.1177/15533506211018671. Epub 2021 May 7.
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.
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。