人工智能用于诊断和管理骨骨不稳定:全面的审查
Michele Mercurio1,2, Federica Denami1, Andrea Vescio1
1Department of Orthopaedic and Trauma Surgery, Magna Graecia University, "Renato Dulbecco" University Hospital, 88100 Catanzaro, Italy.
Diagnostics (Basel, Switzerland)
|November 27, 2025
概括
人工智能 (AI) 显示出对诊断和管理骨骨架不稳定 (PFI) 的承诺. 需要进一步的研究来克服局限性,并将AI整合到临床实践中,以提供个性化的骨科护理.
科学领域:
- 整形外科 整形外科 整形外科
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 椎骨不稳定 (PFI) 是一种复杂的骨科疾病,影响年轻,活跃的个体.
- 由于复杂的解剖学和生物力学因素,准确的诊断和个性化治疗具有挑战性.
- 人工智能 (AI),包括机器学习 (ML) 和深度学习 (DL),正在肌肉骨成像和骨科中出现.
研究的目的:
- 审查AI在PFI的诊断和管理中的当前和潜在应用.
- 探索AI在提高PFI患者的诊断准确性和治疗个性化方面的作用.
主要方法:
- 在PFI中对11篇有关AI的相关文章进行系统审查.
- 对发现的分析被分类为诊断,结果,并发症和挑战.
- 探索自动化图像分析和预测建模方面的进展.
主要成果:
- 人工智能在自动图像分析,预测建模和PFI的结果预测方面展示了潜力.
- 人工智能可以提高PFI护理的一致性,效率和个性化.
- 目前在PFI中的AI应用受到小型数据集,方法的多样性和缺乏外部验证的限制.
结论:
- 人工智能具有显著的潜力,可以促进骨骨架不稳定性的诊断和管理.
- 技术开发和临床验证对于将人工智能纳入常规骨科实践至关重要.
- 未来的研究应该优先考虑多中心数据,可解释的AI和PFI管理的强有力的临床验证.
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