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新兴的人工智能创新在类风湿性关节炎和临床采用挑战
Vinit J Gilvaz1, Aishwarya Sudheer2, Anthony M Reginato3,4
1Division of Rheumatology, Department of Internal Medicine, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA. Vjosephgilvaz@brownhealth.org.
Current rheumatology reports
|June 28, 2025
概括
人工智能 (AI) 在类风湿性关节炎 (RA) 护理方面表现有前途,有助于早期检测,治疗预测和药物发现. 然而,监管障碍和实施挑战限制了这些先进的人工智能工具的临床采用.
科学领域:
- 类风湿病学 类风湿病学
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能对人工智能越来越感兴趣,以增加类风湿病护理的提供.
- 需要弥合人工智能创新与临床实践之间的差距.
研究的目的:
- 通知类风湿病学家关于近期在类风湿性关节炎 (RA) 中的人工智能研究.
- 从2023-2025年在诊断,治疗,药物发现和患者工具方面突出展示AI发展.
主要方法:
- 对近期基于人工智能的类风湿性关节炎 (RA) 研究的综述.
- 专注于诊断成像,治疗预测,药物发现和面向患者的工具方面的发展.
- 分析AI模型准确性和潜在的临床应用.
主要成果:
- 人工智能模型通过成像在早期RA检测中显示出高准确度.
- 使用EHR数据的预测模型正在接近临床应用.
- 面向患者的AI工具显示出潜力,但具有可变的准确性/安全性.
- 人工智能有助于生物标记物识别,并加速药物发现.
- 截至2025年初,没有FDA批准用于风湿病的AI工具.
结论:
- 人工智能为增强RA护理提供了显著的希望,从诊断到个性化治疗.
- 临床采用受到监管,技术和实施挑战的阻碍.
- 简化监管和协作对于人工智能在风湿病学中的整合至关重要.
- 人工智能可以成为管理临床复杂性和劳动力短缺的宝贵辅助.
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