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[数字风湿病学]

[Digital rheumatology].

作者信息

Knitza Johannes, Kuhn Sebastian

机构信息

Institut für Digitalisierung in der Medizin, Universitätsklinikum Gießen und Marburg, Philipps-Universität Marburg, Baldingerstr., 35043, Marburg, Deutschland.

出版信息

Inn Med (Heidelb). 2023 Nov;64(11):1023-1024. doi: 10.1007/s00108-023-01605-y. Epub 2023 Oct 16.

Abstract

Chronic inflammatory rheumatic diseases mostly run an undulating course and with unspecific symptoms. The initial clarification and timely initiation of treatment are challenging, which is additionally exacerbated by the lack of specialized physicians. Digital approaches, including artificial intelligence (AI), should be of assistance and enable an improved, personalized and needs-based treatment; however, the evidence is currently still very limited. This article provides a compact overview of the current state of digital rheumatology.

摘要

慢性炎症性风湿性疾病大多呈波动病程且症状不具特异性。初始诊断及及时开始治疗颇具挑战性,而专科医生的短缺更是雪上加霜。包括人工智能(AI)在内的数字技术应能提供帮助,实现更好的个性化和基于需求的治疗;然而,目前相关证据仍然非常有限。本文简要概述了数字风湿病学的现状。

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