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人工智能在儿童神经放射学未来的景观:机遇和挑战

Aashim Bhatia¹, Farzad Khalvati², Birgit Betina Ertl-Wagner²

¹From the Children's Hospital of Philadelphia (A.B.), Philadelphia, Pennsylvania aashimbhatia@gmail.com.

AJNR. American journal of neuroradiology

|January 4, 2024

概括

人工智能 (AI) 将通过提高护理和工作流程来改变儿科神经放射学. 以人为中心的方法对于安全,公平的AI整合在神经成像中至关重要.

科学领域:

神经辐射学神经辐射学
人工智能的人工智能
医疗成像医学成像

背景情况:

人工智能 (AI) 准备对儿科神经放射学产生重大影响.
目前面临的挑战包括改善健康结果,患者体验,成本效益和医疗保健团队福祉.
诸如公平,多样性,包容性,数据安全和获得护理等道德考虑至关重要.

研究的目的:

审查人工智能在儿科神经放射学中的未来作用和影响.
突出需要一个安全,透明,以人为中心的人工智能框架.
与成人神经放射学相比,讨论人工智能在儿科神经成像中的独特应用.

主要方法:

审查当前文献和AI在医学成像领域的预期进展.
对人工智能对儿科神经放射学各个方面的潜在影响进行分析.
讨论人工智能实施的伦理考虑和安全协议.

主要成果:

人工智能算法有望提高对护理的准入,工作流管理和异常检测.
人工智能将有助于分类,响应预测,预测和报告生成.
人工智能可以通过模式识别来识别罕见疾病和未知的疾病.

结论:

人工智能将在儿科神经放射学中发挥至关重要的作用,但人类监督至关重要.
安全,公平和透明的AI开发和部署至关重要.
持续监测和专家参与是必要的,以减轻风险和最大限度地提高收益.

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