探索人工智能在气道管理中的潜力

IF 0.7 Q3 ANESTHESIOLOGY
Luigi La Via , Antonino Maniaci , David Gage , Giuseppe Cuttone , Giovanni Misseri , Mario Lentini , Daniele Salvatore Paternò , Federico Pappalardo , Massimiliano Sorbello
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引用次数: 0

摘要

本文综述了人工智能(AI)语言模型在气道管理中的集成,特别是Chat GPT。它探讨了人工智能在教育、临床决策支持、患者沟通和研究方面的潜在应用,以及与现有医疗技术的整合。该综述强调了人工智能的好处,包括快速获取当前信息、护理标准化和患者预后的潜在改善。然而,它也解决了数据安全、算法偏见和过度依赖人工智能系统的风险等限制和伦理问题。展望未来,该报告讨论了人工智能通过预测分析、增强现实和个性化学习平台彻底改变气道管理的潜力,同时承认了实施方面的挑战。探讨了人工智能在医疗保健领域的更广泛影响,包括其对学习、创新的影响,以及在无错误决策和人类创造力之间的平衡。该综述的结论是,虽然人工智能在加强气道管理方面显示出巨大的希望,但其实施需要仔细考虑伦理影响和正在进行的研究。人工智能在这一领域的未来在于它的明智使用和熟练的临床判断,可能会显著改善病人的护理和结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the potential of artificial intelligence in airway management
This review examines the integration of Artificial Intelligence (AI) language models, particularly Chat GPT, in airway management. It explores AI's potential applications in education, clinical decision support, patient communication, and research, as well as its integration with existing medical technologies. The review highlights AI's benefits, including rapid access to current information, care standardization, and potential improvements in patient outcomes. However, it also addresses limitations and ethical considerations such as data security, algorithm bias, and the risk of over-reliance on AI systems. Looking forward, the review discusses AI's potential to revolutionize airway management through predictive analytics, augmented reality, and personalized learning platforms, while acknowledging implementation challenges. The broader implications of AI in healthcare are explored, including its impact on learning, innovation, and the balance between error-free decision-making and human creativity. The review concludes that while AI shows great promise in enhancing airway management, its implementation requires careful consideration of ethical implications and ongoing research. The future of AI in this field lies in its judicious use alongside skilled clinical judgment, potentially leading to significant improvements in patient care and outcomes.
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来源期刊
CiteScore
1.90
自引率
13.30%
发文量
60
审稿时长
33 days
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