Singam Amol
Critical Care Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Cureus. 2023 Dec 4;15(12):e49887. doi: 10.7759/cureus.49887. eCollection 2023 Dec.
This review explores the intersection of artificial intelligence (AI) and anesthesia, examining its transformative impact on patient care across various phases. Beginning with a historical overview of anesthesia, we highlight the critical role of technological advancements in ensuring optimal patient outcomes. The emergence of AI in healthcare sets the stage for a comprehensive analysis of its applications in anesthesia. In the preoperative phase, AI facilitates personalized risk assessments and decision support, optimizing anesthesia planning and drug dosage predictions. Moving to the intraoperative phase, we delve into AI's role in monitoring and control through sophisticated anesthesia monitoring and closed-loop systems. Additionally, we discuss the integration of robotics and AI-guided procedures, revolutionizing surgical assistance. Transitioning to the postoperative phase, we explore AI-driven postoperative monitoring, predictive analysis for complications, and the integration of AI into rehabilitation programs and long-term follow-up. These new applications redefine patient recovery, emphasizing personalized care and proactive interventions. However, the integration of AI in anesthesia poses challenges and ethical considerations. Data security, interpretability, and bias in AI algorithms demand scrutiny. Moreover, the evolving patient-doctor relationship in an AI-driven care landscape requires a delicate balance between efficiency and human touch. Looking forward, we discuss the future directions of AI in anesthesia, anticipating advances in technology and AI algorithms. The integration of AI into routine clinical practice and its potential impact on anesthesia education and training are explored, emphasizing the need for collaboration, education, and ethical guidelines. This review provides a comprehensive overview of AI applications in anesthesia, offering insights into the present landscape, challenges, and future directions. The synthesis of historical perspectives, current applications, and future possibilities underscores the transformative potential of AI in revolutionizing patient care within the dynamic field of anesthesia.
本综述探讨了人工智能（AI）与麻醉学的交叉领域，审视其在各个阶段对患者护理的变革性影响。我们首先对麻醉学进行历史概述，强调技术进步在确保患者获得最佳治疗效果方面的关键作用。医疗保健领域中人工智能的出现为全面分析其在麻醉学中的应用奠定了基础。在术前阶段，人工智能有助于进行个性化风险评估和决策支持，优化麻醉计划和药物剂量预测。进入术中阶段，我们深入探讨人工智能在通过先进的麻醉监测和闭环系统进行监测和控制方面的作用。此外，我们还讨论了机器人技术与人工智能引导手术的整合，这正在彻底改变手术辅助方式。过渡到术后阶段，我们探索人工智能驱动的术后监测、并发症预测分析，以及人工智能在康复计划和长期随访中的整合。这些新应用重新定义了患者康复过程，强调个性化护理和积极干预。然而，人工智能在麻醉学中的整合带来了挑战和伦理考量。人工智能算法中的数据安全、可解释性和偏差需要仔细审查。此外，在人工智能驱动的医疗环境中不断演变的医患关系需要在效率和人文关怀之间取得微妙平衡。展望未来，我们讨论了人工智能在麻醉学中的未来发展方向，预期技术和人工智能算法将取得进展。探讨了人工智能融入常规临床实践及其对麻醉学教育和培训的潜在影响，强调了合作、教育和伦理准则的必要性。本综述全面概述了人工智能在麻醉学中的应用，深入分析了当前的现状、挑战和未来方向。历史视角、当前应用和未来可能性的综合强调了人工智能在充满活力的麻醉学领域变革患者护理方面的变革潜力。
