人工智能在科:从早期检测到临床治疗脏疾病
Alessia Nicosia1, Nunzio Cancilla1, José David Martín Guerrero2,3
1Department of Engineering, Università degli Studi di Palermo, Viale delle Scienze Ed. 6, 90128 Palermo, Italy.
Bioengineering (Basel, Switzerland)
|October 29, 2025
概括
人工智能 (AI) 在病学中显示出有前途的预测,以高准确度预测病. 需要进一步开发以优化人工智能用于治疗和预防脏护理中的并发症.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 医疗人工智能 医疗人工智能
背景情况:
- 人工智能 (AI) 正在改变医疗保健,为疾病预测,检测和管理提供先进的工具.
- 在科中,人工智能具有显著的潜力,可以提高病的诊断,治疗和管理以及置换疗法.
研究的目的:
- 进行关于人工智能在科应用的最新文献的全面审查.
- 分析人工智能模型用于早期预测病和人工智能在血液透析治疗中的应用.
主要方法:
- 对最近的文献进行系统审查,重点是脏病学中的AI.
- 研究被分为两个主要领域:用于预测病的AI和用于优化血液透析治疗的AI.
主要成果:
- 人工智能模型在急性和慢性病的早期预测中表现出高准确度 (≥90%).
- 较少的研究专注于人工智能以优化治疗和预防并发症,报告中度至高性能 (约85%).
结论:
- 人工智能在病学中显示出早期病预测的巨大潜力.
- 为病的所有阶段开发可访问的AI解决方案对于支持临床决策和改善患者治疗结果至关重要.
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