人工智能是未来:人工智能在儿科风湿病学中
Saverio La Bella1,2, Latika Gupta3, Vincenzo Venerito4
1UOC Rheumatology and Autoinflammatory Diseases, IRCCS Istituto Giannina Gaslini, Genova, Italy.
Current opinion in rheumatology
|March 11, 2025
概括
人工智能 (AI) 正在通过提高诊断和治疗个性化来改变儿科风湿病学. 虽然挑战仍然存在,但人工智能工具在改善患者护理和疾病管理方面表现有前途.
科学领域:
- 儿科风湿病学 儿科风湿病学
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 人工智能应用在儿科风湿病学中的兴趣日益增长.
- 持续面临的挑战包括数据集的局限性,道德问题以及需要可解释的人工智能的需求.
- 近年来取得了重大进展.
研究的目的:
- 审查近期人工智能在儿科风湿病学中的应用.
- 专注于机器学习模型及其结果.
- 强调AI在诊断,治疗和患者分层方面的作用.
主要方法:
- 对儿童类风湿病学中人工智能的最新文献的综述.
- 专注于机器学习模型 (监督和无监督).
- 对人工智能驱动的成像和诊断工具的分析.
主要成果:
- 机器学习模型识别生物标志物,预测治疗反应,并对患者进行分层.
- 基于人工智能的成像和非侵入性方法可以提高炎症和疾病活动的诊断准确性.
- 大型语言模型对基于患者的查询有希望,但人类监督至关重要.
结论:
- 人工智能正在彻底改变儿科风湿病学,改善诊断,分类和个性化治疗.
- 人工智能增强了患者分层和疾病管理策略.
- 该领域正在迅速发展,具有巨大的未来潜力.
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