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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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手术中的人工智能:未来就是现在

Ahmad Guni, Piyush Varma, Joe Zhang

    European surgical research. Europaische chirurgische Forschung. Recherches chirurgicales europeennes
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    此摘要是机器生成的。

    人工智能 (AI) 正在通过改善患者查,诊断和治疗来改变外科手术. 在手术途径中负责任地实施人工智能将提高患者的安全性和手术结果.

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    科学领域:

    • 临床人工智能 临床人工智能
    • 手术途径转化手术途径转化
    • 医疗保健中的机器学习

    背景情况:

    • 临床人工智能 (AI) 处于关键阶段,进步使临床途径的广泛转变成为可能.
    • 计算机视觉和机器人技术中的机器学习应用将彻底改变从术前到术后的手术患者护理.

    研究的目的:

    • 总结当前和新兴的人工智能整合在复杂的外科护理途径.
    • 探索整个患者旅程的实用AI应用,包括查,诊断,手术内机器人技术和术后监测.
    • 识别提高外科手术实践的创新,并使未来的范式转变成为可能.

    主要方法:

    • 在外科手术中使用人工智能技术的视界扫描.
    • 对手术护理途径中现有和新兴的人工智能集成的审查.
    • 对AI在医疗保健中的实际实施策略的分析.

    主要成果:

    • 人工智能有望显著增强外科实践,改善患者安全和结果.
    • 未来十年将见证人工智能的快速转化,从开发到外科手术中的现实影响.
    • 负责任的AI部署需要强大的数据治理,安全监督,可用性和可行性评估.

    结论:

    • 人工智能集成需要不断发展的工作实践,但承诺提高患者安全和外科手术质量.
    • 整体的实施实践对于将AI扩展到外科手术途径至关重要.
    • 人工智能在外科手术中的未来迫在眉,它建立在技术创新的传统之上.