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儿童放射学人工智能研究的现状和未来的建议:一个范围审查

Rakhshan Kamran^1,2, Elysa Widjaja³, Alex Sy⁴

¹University of Oxford, Oxford, United Kingdom. rakhshan.kamran@mail.utoronto.ca.

Pediatric radiology

|January 24, 2026

概括

儿科放射学中的人工智能 (AI) 主要来自中国和美国的研究,主要侧重于图像解释. 未来的人工智能发展需要更广泛的全球合作和多样化的数据集来减少偏见.

科学领域:

放射学放射学是一门学科.
人工智能的人工智能
儿科成像学儿科成像学

背景情况:

大多数人工智能 (AI) 在放射学方面的研究都集中在成年人群上.
了解儿科放射学的趋势,人工智能对于指导未来的研发至关重要.

研究的目的:

综合审查出版的人工智能研究现状,特别是在儿科放射学领域.
确定儿童成像中人工智能应用的关键趋势,研究差距和地理分布.

主要方法:

从2005年到2024年,使用主要数据库 (Medline,Embase,Web of Science,Cochrane图书馆) 进行了范围审查.
包括的研究集中在儿科人口 (<18岁) 上,并直接应用于临床放射学和人工智能.
提取的数据包括研究信息,临床应用,成像模式和使用的AI技术,用描述性统计数据和千平方测试进行分析.

主要成果:

包括789篇文章,其中大部分研究来自中国 (27.9%) 和美国 (25.4%).
放射 (37.8%) 和MRI (33.0%) 是最常见的成像模式,其中肌肉骨 (33.0%) 和神经 (28.8%) 副专业最多.
图像解释/诊断 (91.1%) 是占主导地位的人工智能应用,对其他方面如通信或政策的研究有限.

结论:

儿科放射学人工智能研究集中在少数几个国家,重点关注图像解释.
存在重大的主题不平衡,突出显示在沟通,教育和政策等领域的代表性不足.
需要加强全球合作,提高数据集中的患者代表性,以减轻人工智能算法偏见,并为未来的研究优先事项提供信息.

关键词:

人工智能的人工智能是人工智能.这就是为什么CTCTCTCTCTCT 孩子孩子孩子孩子图像解释/诊断图像解释/诊断这就是为什么MRI是MRI.核医学是一种核医学.儿科放射学儿科放射学放射学放射学放射学放射学研究研究研究研究研究研究.范围审查范围审查超声波超声波是指超声波的使用.

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