Abstract：
Intensive Care Units (ICUs) have undergone enhancements in patient safety, and artificial intelligence (AI) emerges as a disruptive technology offering novel opportunities. While the published evidence is limited and presents methodological issues, certain areas show promise, such as decision support systems, detection of adverse events, and prescription error identification. The application of AI in safety may pursue predictive or diagnostic objectives. Implementing AI-based systems necessitates procedures to ensure secure assistance, addressing challenges including trust in such systems, biases, data quality, scalability, and ethical and confidentiality considerations. The development and application of AI demand thorough testing, encompassing retrospective data assessments, real-time validation with prospective cohorts, and efficacy demonstration in clinical trials. Algorithmic transparency and explainability are essential, with active involvement of clinical professionals being crucial in the implementation process.
摘要：
重症监护病房(ICU)加强了患者安全，人工智能（AI）作为一种颠覆性技术出现，提供了新的机会。虽然发表的证据有限，并提出了方法论问题，某些领域显示出希望，例如决策支持系统，不良事件的检测，和处方错误识别。人工智能在安全领域的应用可能会追求预测或诊断目标。实施基于人工智能的系统需要确保安全援助的程序，应对挑战，包括对此类系统的信任，偏见，数据质量，可扩展性，以及道德和保密考虑。人工智能的开发和应用需要彻底的测试，包括回顾性数据评估，与预期队列的实时验证，和临床试验中的疗效证明。算法的透明性和可解释性至关重要，临床专业人员的积极参与在实施过程中至关重要。
