Kumar Amber, Taneja Akhil, Singh Yogendra Pal, Pratap Singh Gaurav, Jain Saurabh, Meena Seema
Critical Care Medicine, Max Super Specialty Hospital, Patparganj, Delhi, IND.
Anesthesiology and Critical Care, Max Super Specialty Hospital, Patparganj, Delhi, IND.
Cureus. 2025 Jun 4;17(6):e85323. doi: 10.7759/cureus.85323. eCollection 2025 Jun.
Artificial intelligence (AI) is poised to transform critical care by enhancing clinical decision-making, predictive accuracy, and operational efficiency. This editorial explores the expanding role of AI in intensive care units (ICUs), highlighting emerging applications such as predictive analytics, diagnostic imaging, real-time monitoring, and clinical decision support systems. Alongside these advances, the integration of AI presents critical challenges related to ethical implementation, regulatory oversight, clinician trust, and data interoperability. Drawing from current case studies and healthcare trends, this perspective underscores AI's potential to improve patient outcomes and optimize resource utilization. However, without rigorous validation, transparent practices, and a firm commitment to patient-centered design, AI risks becoming a liability rather than an asset. Sustainable adoption will require interdisciplinary collaboration, continuous evaluation, and the preservation of human connection at the heart of technologically supported care.
人工智能（AI）有望通过提高临床决策、预测准确性和运营效率来改变重症监护。这篇社论探讨了AI在重症监护病房（ICU）中不断扩大的作用，重点介绍了预测分析、诊断成像、实时监测和临床决策支持系统等新兴应用。伴随着这些进展，AI的整合带来了与道德实施、监管监督、临床医生信任和数据互操作性相关的重大挑战。从当前的案例研究和医疗保健趋势来看，这一观点强调了AI改善患者预后和优化资源利用的潜力。然而，如果没有严格的验证、透明的做法以及对以患者为中心的设计的坚定承诺，AI可能会成为一种负担而非资产。可持续采用将需要跨学科合作、持续评估，并在技术支持的护理核心保持人文关怀。
