医学人工智能:传染病管理中的机遇和挑战
Ankit Sahoo1, Janhvi Singh2,3, Kainat Alam4
1Department of Pharmaceutical Sciences, Shalom Institute of Health and Allied Sciences, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, 211007, Uttar Pradesh, India.
Current medicinal chemistry
|September 8, 2025
概括
人工智能 (AI) 通过改善诊断,预测疫情和帮助药物开发,为管理传染病提供了强大的工具. 将人工智能集成到医疗保健系统中需要多学科的合作和医疗保健专业人员的培训.
科学领域:
- 传染性疾病 传染性疾病
- 人工智能的人工智能
- 公共卫生 公共卫生
背景情况:
- 传染病对全球健康构成重大威胁,需要先进的管理策略.
- 目前的分子遗传学方法在控制人类感染方面存在局限性.
- 多学科合作和先进的科学工具对于有效的传染病控制至关重要.
研究的目的:
- 审查人工智能 (AI) 在加强传染病管理方面的潜力.
- 探索AI在流行病预测,病原体特异性和药物开发中的应用.
- 突出AI在诊断,治疗算法和感染预防方面的作用.
主要方法:
- 审查基于人工智能的方法,包括机器学习 (ML),用于整合omics数据.
- 在疾病监测,患者辅助 (聊天机器人) 和用于诊断的图像处理中分析AI应用.
- 讨论AI在开发新型疫苗和治疗算法方面的潜力.
主要成果:
- 人工智能通过模式识别提高诊断准确性,并标准化感染预防和控制 (IPC).
- 人工智能有助于流行病预测,病原体特异性分析和药物标的识别.
- 人工智能驱动的工具在患者协助,疾病监测和治疗开发方面表现有前途.
结论:
- 人工智能显示出在各种医疗保健方面彻底改变传染病管理的巨大潜力.
- 有效实施需要解决生物复杂性,并将AI与现有系统集成在一起.
- 培训医疗保健专业人员和确保人工智能系统可靠性对于成功采用至关重要.
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