自我超声研究的定位:范围综述

Miyako Muta , Mari Abe , Nao Tamai , Mizuho Itabashi , Gojiro Nakagami
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引用次数: 0

摘要

目的:点护理超声(POCUS)广泛用于无创、实时的患者评估,但需要专门的图像采集技能,限制了其自我保健应用。最近的进展包括远程评估和人工智能(AI)辅助超声图像解释。自超声已成为一种可行的方法,但缺乏标准化的定义和方法。本文综述了自行超声的相关文献,以评估其现状和面临的挑战,为今后的推广和应用提供参考。方法通过使用与“自我”或“远程”和超声相关的关键词,在四个数据库中对截至2024年6月发表的研究论文进行映射。两位具有POCUS专业知识的审稿人进行了初级和二级筛选。结果筛选661篇文献,纳入20篇。这些缺乏对自行超声的统一定义。然而,所有的研究都涉及到接受超声专家的指导,无论是远程的还是面对面的,事先还是实时的,并通过将探针应用到自己的身体上获得超声图像。参与者不必自己解读这些图像。参与者包括病人、孕妇、健康志愿者和宇航员,他们对身体的各个部位进行超声波检查。指导可亲自或远程提供,获得的图像由专家评估图像质量。结论在适当的指导下,新手可以成功地进行自我超声检查。标准化教育,加上远程评估和人工智能辅助口译,可以将超声波用于医疗设施以外的健康评估,包括在服务不足的地区和家庭环境中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mapping the research on self-performed ultrasound: A scoping review

Objective

Point-of-care ultrasound (POCUS) is widely used for noninvasive, real-time patient assessment but requires specialized skills for image acquisition, limiting its self-care applications. Recent advancements include remote evaluation and artificial intelligence (AI)-assisted interpretation of ultrasound images. Self-performed ultrasound has emerged as a feasible approach but lacks standardized definitions and methods. This study reviews the literature on self-performed ultrasound to assess its current state and challenges, aiding future dissemination and application.

Methods

Research articles published through June 2024 were mapped across four databases using keywords related to ‘self’ or ‘tele’ and ultrasound terms. Two reviewers with POCUS expertise conducted primary and secondary screening.

Results

Of the 661 articles screened, 20 were included. These lacked a unified definition of self-performed ultrasound. However, all studies involved receiving guidance from an ultrasound specialist, either remotely or in-person, prior to or in real-time, and obtaining ultrasound images by applying the probe to one's own body. Participants did not necessarily have to interpret the images themselves. Participants included patients, pregnant women, healthy volunteers, and astronauts who performed ultrasound on various body parts. Instructions were provided either in-person or remotely, and images that were obtained were evaluated for image quality by experts.

Conclusion

With proper guidance, novices can successfully perform self-ultrasound. Standardized education, coupled with remote evaluation and AI-assisted interpretation, could expand the utility of ultrasound for health assessments beyond medical facilities, including in underserved regions and home settings.
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