人工智能,机器学习和神经外科深度学习的最新成果和挑战
Wireko Andrew Awuah1, Favour Tope Adebusoye1, Jack Wellington2
1Sumy State University, Sumy, United Kingdom.
World neurosurgery: X
|April 5, 2024
概括
人工智能 (AI) 通过改善诊断和手术决策来增强神经外科手术. 人工智能,机器学习和深度学习提升了患者护理,减少了并发症,并优化了手术规划,以获得更好的结果.
科学领域:
- 神经外科 神经外科
- 医疗技术 医疗技术 医学技术
- 人工智能的人工智能
背景情况:
- 神经外科医生需要广泛的培训,以便在所有手术阶段进行复杂的决策.
- 人工智能 (AI) 越来越多地被纳入神经外科实践.
研究的目的:
- 探索人工智能在神经外科手术中的作用和影响.
- 要突出AI如何增强神经外科医生的能力,以改善患者护理.
主要方法:
- 关于人工智能,机器学习 (ML) 和深度学习 (DL) 在神经外科手术中的应用.
- 对人工智能对干预性和非干预性疗法的贡献进行分析.
主要成果:
- 人工智能显著改善了诊断和预后结果.
- 人工智能增强了手术前,手术内和手术后护理期间的决策.
- ML和DL的进步导致了更好的患者结果和减少并发症.
结论:
- 人工智能在神经外科的整合为患者护理提供了巨大的好处.
- 人工智能工具增强了神经外科医生的能力,从而改善了手术规划和结果.
- 人工智能,ML和DL的持续进步承诺神经外科手术程序的进一步进步.
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