儿童脊柱护理中的人工智能:临床,研究和伦理考虑
Hans K Nugraha1, Adam P Rasmussen2, Kellen L Mulford3
1Department of Orthopedic Surgery, Orlando Health, Orlando, FL 32806, USA.
Journal of clinical medicine
|November 27, 2025
概括
人工智能 (AI) 通过提高诊断准确性和预测结果来增强儿科脊柱护理. 应对数据隐私和透明度等挑战对于在脊椎健康中采用人工智能的伦理临床采用至关重要.
科学领域:
- 儿科脊柱护理 儿科脊柱护理
- 医疗保健中的人工智能
- 医疗数据分析 医学数据分析
背景情况:
- 人工智能 (AI) 正在迅速推进医疗保健,为医疗分析提供新的工具.
- 机器学习和深度学习显示出在医疗数据中识别复杂模式的潜力.
研究的目的:
- 审查人工智能在儿科脊柱护理中的当前和潜在应用.
- 确定人工智能的伦理和有效的临床整合所面临的挑战和必要的步骤.
主要方法:
- 对儿童脊柱护理中人工智能应用的审查,包括图像分析,结果预测和进展预测.
- 探索脊椎体积分析的深度推理.
- 讨论人工智能潜在的手术内作用 (机器人,轨迹规划) 和大型语言模型.
主要成果:
- 人工智能在提高儿科脊柱形的效率,准确性和理解方面表现出有希望.
- 人工智能在脊柱状况的预测准确性方面有可能超越传统方法.
- 确定的挑战包括实施准则,模型透明度,数据隐私,偏见和数据集限制.
结论:
- 人工智能对儿科脊柱护理具有变革性的潜力,从诊断到手术规划.
- 克服实施,透明度,伦理和数据挑战对于人工智能采用至关重要.
- 需要对更大,更多样化的数据集进行进一步的研究,才能充分认识到AI在儿科脊柱健康方面的好处.
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