数字表型的综合临床效益:从广泛采用到全面影响

IF 12.4 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Yingbo Zhang, Jiao Wang, Hui Zong, Rajeev K. Singla, Amin Ullah, Xingyun Liu, Rongrong Wu, Shumin Ren, Bairong Shen
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引用次数: 0

摘要

数字表型以数字方式收集健康数据,支持早期疾病诊断和健康管理。本文系统地回顾了数字表型研究方法的多样性及其临床益处,同时也重点介绍了其在P4医学范式中的重要性及其在推进其在生物库中的应用中的核心作用。此外,该论文还展望了在技术创新、全球合作和政策支持的推动下,数字表型的持续临床效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The comprehensive clinical benefits of digital phenotyping: from broad adoption to full impact

The comprehensive clinical benefits of digital phenotyping: from broad adoption to full impact

Digital phenotyping collects health data digitally, supporting early disease diagnosis and health management. This paper systematically reviews the diversity of research methods in digital phenotyping and its clinical benefits, while also focusing on its importance within the P4 medicine paradigm and its core role in advancing its application in biobanks. Furthermore, the paper envisions the continued clinical benefits of digital phenotyping, driven by technological innovation, global collaboration, and policy support.

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来源期刊
CiteScore
25.10
自引率
3.30%
发文量
170
审稿时长
15 weeks
期刊介绍: npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.
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