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神经外科决策中的人工智能:美国实践中的承诺和危险

Tirath Patel¹, Hamza Yousuf Ibrahim², Sana Sohrab³

¹Department of Neurosurgery, Trinity Medical Sciences University School of Medicine, Ratho Mill, Kingstown, Saint Vincent and the Grenadines.

Annals of medicine and surgery (2012)

|February 12, 2026

概括

人工智能 (AI) 正在改变神经外科手术,在诊断和规划方面提高了准确性. 然而,模型不透明,法律风险和道德问题等挑战需要仔细实施和监督患者安全.

科学领域:

神经外科神经外科
医疗人工智能医疗人工智能
无线电学 (Radiomics) 是一种放射学.

背景情况:

人工智能 (AI) 正在迅速融入美国神经外科实践,影响诊断,外科规划和手术指导.
人工智能工具,包括放射学和FDA批准的用于瘤细分,动脉瘤识别和脊髓导航的系统,显示出更高的准确性和更低的观察者可变性.

研究的目的:

检查人工智能整合在神经外科手术中的变革潜力和相关挑战.
强调需要强有力的验证,临床监督和监管框架,以实现负责任的人工智能部署.

主要方法:

审查当前在神经外科诊断和手术规划中的AI应用.
分析人工智能工具的好处 (准确性,降低可变性) 和风险 (不透明性,错误,法律/道德问题).

主要成果:

人工智能模型在改善诸如瘤细分和动脉瘤识别等任务的准确性方面表现有前途.
有关"黑子"模型不透明度,不准确输出的可能性和法律责任存在重大担忧.
伦理问题包括临床医生的技能削减,自主权的减少,以及潜在的健康不平等的恶化.

结论:

透明的验证,临床医生领导的监督,多样化的数据集和加强的监管保护对于神经外科人工智能至关重要.
人工智能能力培训和国家不良事件报告对于保持患者安全和专业诚信至关重要.
负责任的AI整合应该增强,而不是取代临床判断,以确保公平和安全的神经外科护理.

关键词:

美国食品和药物管理局 (FDA) 批准人工智能的人工智能是人工智能.在临床决策过程中.神经外科神经外科手术农村健康农村健康

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