在精确的糖尿病护理和心血管风险预测中使用机器学习
Evangelos K Oikonomou1, Rohan Khera2,3,4,5
1Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Cardiovascular diabetology
|September 25, 2023
概括
人工智能 (AI) 和机器学习 (ML) 提供个性化的糖尿病护理,并降低心血管风险. 本综述探讨了AI/ML在糖尿病患者的诊断,治疗和风险预测中的应用.
科学领域:
- 医疗信息学 医疗信息学
- 心脏病学 心脏病学
- 内分泌学 在内分泌学.
背景情况:
- 糖尿病有很大的心血管风险,需要先进的管理策略.
- 人工智能 (AI) 和机器学习 (ML) 正在通过数据驱动的方法改变医疗保健.
- 个性化医疗对于管理糖尿病及其并发症等复杂疾病至关重要.
研究的目的:
- 为管理糖尿病和相关心血管风险提供AI和ML应用的全面审查.
- 探索数据驱动方法如何开发个性化糖尿病护理的预测模型.
- 检查用于诊断,预后,表型和糖尿病和心血管并发症治疗的AI解决方案.
主要方法:
- 对糖尿病和心血管风险管理中的现有和新兴AI和ML方法的审查.
- 对预测建模和个性化治疗策略的数据驱动方法的分析.
- 讨论复杂风险预测和医疗保健应用所必需的模型属性.
主要成果:
- 人工智能和机器学习为改善糖尿病护理中的诊断,预后和治疗个性化提供了强大的工具.
- 成功应用AI/ML模型需要了解它们的属性,以便进行复杂的风险预测.
- 确定的挑战包括潜在的滥用,方法标准的需要,以及确保公平和减轻偏见.
结论:
- 人工智能和机器学习对彻底改变心血管保健和糖尿病患者的治疗结果具有重大前景.
- 解决与滥用,标准,公平和偏见相关的挑战对于安全有效的AI实施至关重要.
- 监管框架必须确保医疗人工智能产品的有效性和安全性,以改变糖尿病和心血管保健.
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