通过人工智能彻底改变裂唇和 palatal 管理:一个范围审查
Cristhian David Barreto Zambrano1, Mariana Arias Jiménez1, Angela Gabriela Muñoz Rodríguez1
1School of Medicine, Universidad de La Sabana, Chía, Cundinamarca, Colombia.
Oral and maxillofacial surgery
|April 10, 2025
概括
人工智能 (AI) 越来越多地用于裂唇和/或 palatal 护理,增强预测,诊断和治疗. 需要进一步的研究才能充分整合这些先进的AI技术,使患者受益.
科学领域:
- 医疗信息学 医疗信息学
- 计算生物学 计算生物学
- 生物医学工程 生物医学工程
背景情况:
- 裂唇和/或 palatal (CLP) 是一个重要的全球健康问题.
- 人工智能 (AI) 在CLP管理中的整合仍未得到充分探索.
- 对临床临床治疗中人工智能应用的全面理解对于推进患者护理至关重要.
研究的目的:
- 在过去的十年中,对人工智能在裂唇和/或 palatal 的应用进行范围审查.
- 综合现有的关于人工智能在CLP预测,诊断和治疗中的作用的文献.
- 识别人工智能驱动的CLP方法中的趋势和研究差距.
主要方法:
- 在PubMed,Science Direct,Scopus和LILACS (2014-2024) 进行了系统的文献搜索.
- 最初的搜索结果是649篇文章;雪球方法确定了3项额外的研究.
- 经过标题/摘要选和包含/排除标准的全文审查,选出了25项研究.
主要成果:
- 审查的研究主要以观察和实验设计为特色.
- 地理分布显示,研究集中在美国.
- 人工智能模型,特别是深度学习和机器学习,在6个子类别中应用:诊断,预测,治疗和教育.
结论:
- 人工智能技术对优化裂唇和/或 palatal 患者护理具有重大前景.
- 目前在CLP领域的AI进步是有希望的,但需要进一步的研究来改进和扩展.
- 人工智能集成,包括辅助算法,预测遗传学模型和手术规划,正在推进CLP管理.
相关概念视频
Oral Cavity
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Mouth Inspection
The inspection begins with visually examining the mouth for symmetry, color, and size.
Mouth Inspection
The inspection begins with visually examining the mouth for symmetry, color, and size.


