利用人工智能预测和管理多病症患者的并发症:一篇文学评论
Sai Praneeth Chaparala1, Kesha D Pathak2, Rohit Rao Dugyala3
1Internal Medicine, Gayatri Vidya Parishad Institute of Health Care and Medical Technology, Visakhapatnam, IND.
Cureus
|February 21, 2025
概括
人工智能 (AI) 通过改善诊断和预测并发症,提高了多种慢性疾病 (多重疾病) 的患者的医疗保健. 为了安全的整合,需要进一步的研究.
科学领域:
- 医疗信息学 医疗信息学
- 计算医学是一种计算医学.
- 医疗保健服务研究 医疗服务研究
背景情况:
- 人工智能 (AI) 正在改变医疗保健服务,特别是对于多病症患者.
- 人工智能应用专注于提高诊断准确性,治疗方案和患者护理.
研究的目的:
- 审查人工智能在预测和管理多病患者并发症中的应用.
- 突出AI在预测分析,实时数据集成和诊断增强方面的作用.
主要方法:
- 在PubMed和谷歌学者的综合文献搜索 (2010年1月 - 2024年12月).
- 将原创研究,系统审查和对人工智能的元分析纳入多病症管理中.
- 排除没有结果测量或仅关注社论的研究.
主要成果:
- 人工智能模型利用电子健康记录和医学成像来预测癌症,心血管疾病和糖尿病等疾病的早期并发症.
- 人工智能系统证明了肺癌和乳腺癌的诊断准确度提高,减少了假阳性.
- 人工智能增强了临床决策和多病症管理中的患者结果.
结论:
- 人工智能显示出增加诊断精度和改善多病患者临床结果的巨大潜力.
- 挑战包括数据偏差,伦理考虑,以及需要严格的验证和纵向研究.
- 人工智能的可持续临床整合需要解决这些障碍,并确保强有力的研究.
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