埃拉斯和新技术的挑战
Elena Bignami1,2, Brigida Leoni3,4, Tania Domenichetti3,4
1Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy - elenagiovanna.bignami@unipr.it.
人工智能 (AI) 和新技术 (NTs) 可以克服手术后增强恢复 (ERAS) 协议的挑战. 将AI和NT集成到ERAS中可以通过个性化手术途径来改善患者护理和结果.
科学领域:
- 在外科手术期间的医学.
- 手术护理 手术护理
- 医疗信息学 医疗信息学
背景情况:
- 手术后增强恢复 (ERAS) 协议改善了患者的治疗结果,但面临着实施挑战.
- 障碍包括对变革的抵制,资源限制和部门间沟通不良.
- 人工智能 (AI) 和新技术 (NTs) 为这些ERAS挑战提供了解决方案.
研究的目的:
- 探索AI和NT在克服ERAS实施障碍中的作用.
- 突出AI如何增强以患者为中心的护理和优化外科手术途径.
- 讨论人工智能和NTs在彻底改变外科手术期间医学的潜力.
主要方法:
- 对人工智能,NT和ERAS协议的当前文献的审查.
- 在术前,术后和术后阶段对人工智能应用的分析.
- 讨论机器学习和深度学习技术,以实现个性化的患者护理.
主要成果:
- 人工智能可以简化临床计划,改善合规性,并个性化患者的治疗方法.
- 通过基于风险因素的个性化ERAS计划,AI优化了患者管理.
- 人工智能增强了监测,临床决策和术后过程优化.
结论:
- 将AI和NT整合到ERAS协议中对于改善患者的结果和满意度至关重要.
- 由人工智能量身定制的个性化手术途径将改变外科手术医学.
- 尽管有数据安全和验证需求,AI和NT应该被整合到常规的临床实践中.
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