人工智能在类风湿关节炎中的研究进展。

Jiaqi Wang, Yu Tian, Tianshu Zhou, Danyang Tong, Jing Ma, Jingsong Li
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引用次数: 3

摘要

这篇文章概述了目前著名的人工智能方法(2019-2023年之间发布),特别强调了在早期发现类风湿性关节炎(RA)、提供早期治疗和控制疾病方面的最新进展。我们讨论了这些领域的挑战,然后讨论了具体的人工智能(AI)技术,并总结了进展、相关优势和障碍。总的来说,人工智能在类风湿性关节炎领域的应用有可能使医护人员在早期发现类风湿性关节炎,从而促进及时干预和更好的疾病管理。然而,需要更多的研究来证实人工智能在RA中的准确性和可靠性,并且在广泛采用这些方法之前,必须解决与这些方法相关的一些问题,如技术和伦理问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A survey of artificial intelligence in rheumatoid arthritis.

The article offers a survey of currently notable artificial intelligence methods (released between 2019-2023), with a particular emphasis on the latest advancements in detecting rheumatoid arthritis (RA) at an early stage, providing early treatment, and managing the disease. We discussed challenges in these areas followed by specific artificial intelligence (AI) techniques and summarized advances, relevant strengths, and obstacles. Overall, the application of AI in the fields of RA has the potential to enable healthcare professionals to detect RA at an earlier stage, thereby facilitating timely intervention and better disease management. However, more research is required to confirm the precision and dependability of AI in RA, and several problems such as technological and ethical concerns related to these approaches must be resolved before their widespread adoption.

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