传染病临床实践中的人工智能:关于差距,机会和局限性的概述
Andreas Sarantopoulos1,2, Christina Mastori Kourmpani1, Atshaya Lily Yokarasa1
1School of Medicine, European University of Cyprus, 2404 Nicosia, Cyprus.
Tropical medicine and infectious disease
|October 25, 2024
概括
人工智能 (AI) 正通过改进诊断和治疗来彻底改变传染病管理. 数据隐私和偏见等挑战需要仔细考虑在医疗保健中的道德AI实施.
科学领域:
- 临床医学 临床医学
- 传染性疾病 传染性疾病
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 的整合正在改变临床医学.
- 人工智能提高了诊断准确性,治疗效率和医疗保健的提供.
- 传染病对诊断和管理提出了独特的挑战.
研究的目的:
- 审查当前的应用,益处和AI在传染病中的局限性.
- 探索AI在诊断,临床决策和个性化医学的作用.
- 解决AI在疾病监测,疫情检测和治疗优化方面的潜力.
主要方法:
- 对AI在临床和实验室传染病中的应用进行文献综述.
- 分析AI对诊断速度和准确性的影响.
- 检查AI在个性化治疗策略和公共卫生监测中的作用.
主要成果:
- 人工智能在快速诊断,监测和疫情管理方面显示出巨大潜力.
- 人工智能有助于优化传染病治疗策略.
- 目前的人工智能使用有希望,但在数据隐私,偏见和道德考虑方面面临局限性.
结论:
- 人工智能为传染病诊断和管理提供了变革性的潜力.
- 解决数据隐私,偏见和道德问题对于有效的AI部署至关重要.
- 制定监管框架和包容性数据库对于公平使用人工智能至关重要.
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