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人工智能和儿科急性损伤:一个小综述和白皮书
Jieji Hu1,2, Rupesh Raina1,2,3
1Department of Internal Medicine, Northeast Ohio Medical University, Rootstown, OH, United States.
Frontiers in nephrology
|March 5, 2025
概括
人工智能 (AI) 有助于儿童急性损伤 (AKI) 的早期检测和风险分层,改善患者的治疗结果. 人工智能集成提供了个性化的护理,但需要解决数据质量和道德方面的考虑,以便广泛采用.
科学领域:
- 儿科脏病学 儿科脏病学
- 人工智能在医学中的应用
- 计算生物学 计算生物学
背景情况:
- 儿科和新生儿急性损伤 (AKI) 提出了诊断和管理的挑战,往往导致检测延迟和长期并发症,如高血压和慢性病.
- 早期发现和干预对于减轻AKI在年轻人群中的严重后果至关重要.
研究的目的:
- 探索人工智能 (AI) 模型的应用,用于早期检测,风险分层和儿科AKI的个性化管理.
- 调查人工智能如何改善临床决策,并为定制干预确定不同的AKI亚型.
- 评估将人工智能与现有临床工具集成的潜力,以提高儿科脏病学预测准确度.
主要方法:
- 监督和无监督机器学习模型的应用,用于儿童群体的AKI预测.
- 探索人工智能与既定风险评分和生物标志物的整合,以提高诊断和预后能力.
- 分析AI在识别患者亚现象类型中的作用,这些患者对治疗的反应不同.
主要成果:
- 人工智能模型展示了早期AKI检测和儿科患者风险分层的潜力.
- 人工智能与现有临床数据的整合提高了AKI的预测准确性.
- 人工智能有助于识别新型AKI亚型,为个性化治疗策略铺平道路.
结论:
- 人工智能具有显著的前景,可以通过早期和更准确的AKI诊断和管理来彻底改变儿科脏病学.
- 解决数据质量,算法偏见和道德实施等挑战对于成功采用人工智能至关重要.
- 未来的研究应侧重于纳入多样化的生物标志物,外部验证,并确保公平地获得人工智能驱动的工具,以获得最佳的儿科AKI护理.
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