使用人工智能增强儿童骨龄评估:对整形外科手术的影响
Nalin Zadoo1, Nathaniel Tak1, Akshay J Reddy2
1Medicine, Midwestern University Arizona College of Osteopathic Medicine, Glendale, USA.
Cureus
|February 24, 2025
概括
人工智能 (AI) 提供了一种更准确,更有效的方法来评估儿童骨科骨科的骨年龄. 与传统技术相比,这种AI模型显著降低了可变性,改善了儿童的治疗决策.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 儿科整形外科 儿科整形外科
背景情况:
- 骨年龄评估对于儿科骨科手术至关重要,指导生长障碍的治疗.
- 传统的方法 (Greulich-Pyle,Tanner-Whitehouse) 是手动的,耗时的,容易变化.
- 人工智能 (AI) 为提高准确性和标准化提供了一个潜在的解决方案.
研究的目的:
- 评估人工智能深度学习模型对儿科骨年龄预测的有效性.
- 在准确性和可靠性方面,将AI性能与传统方法进行比较.
主要方法:
- 开发了一个ResNet-50深度学习模型,并在RSNA 2017数据集中的12611张手和手腕X射线图上进行训练.
- 模型性能使用根平均平方误差 (RMSE),平均绝对误差 (MAE) 和确定系数 (R2) 进行评估.
- 验证和测试分别对1425张和200张图像进行.
主要成果:
- 人工智能模型实现了RMSE为11.07个月,MAE为8.54个月,R2为0.929.
- 高相关系数 (皮尔森:0.963,斯皮尔曼:0.955) 证实了预测的稳定性.
- 人工智能模型显示,与传统方法相比,操作者间的变性减少了 (误差为6-18个月).
结论:
- 人工智能为骨年龄评估提供了标准化,快速和精确的替代方案.
- 提高准确性和效率对儿科整形外科手术的时间和访问有重大影响.
- 为了在不同人群中广泛的临床适用性,需要进一步验证.
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