大数据和人工智能在未来的患者管理中. 这一切是如何开始的? 我们现在的情况是什么? 我们的肌是多少?
Ashraf Mina1,2,3
1NSW Health Pathology, Forensic & Analytical Science Service (FASS), Sydney, Australia.
Advances in laboratory medicine
|June 26, 2023
概括
大数据和人工智能正在通过提高疾病预测,诊断和患者管理来彻底改变医疗保健. 这些技术可以从复杂的医疗数据中获得更快,更准确的见解,以改善健康结果.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 计算生物学 计算生物学
- 医疗人工智能 医疗人工智能
背景情况:
- 大数据 (BD) 和人工智能 (AI) 的整合对于推进医疗保健至关重要.
- 关键的应用包括早期疾病预测,准确的诊断和优化患者管理.
研究的目的:
- 探索BD和AI对未来医疗保健模型的影响.
- 了解这些技术在精准医学和资源配置中的作用.
主要方法:
- 利用BD和AI过程,如学习,推理和自我纠正.
- 应用机器学习 (ML),预测建模和组合学来分析结构化和非结构化数据.
主要成果:
- BD和AI有助于在复杂的健康数据中发现模式和相关性.
- 这些技术有助于检测疾病,包括罕见疾病和毒性.
结论:
- 由人工智能驱动的诊断辅助系统和可穿戴设备将改变患者管理和疾病预防.
- BD和AI的协同作用将大大提升医疗监测和诊断.
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