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Diana Elena Vulpe^1,2, Catalin Anghel³, Cristian Scheau^1,4

¹The "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.

|August 28, 2025

概括

人工智能 (AI) 在改善关节置换后周围假肢感染 (PJIs) 的早期诊断方面表现有前途. 这篇评论探讨了人工智能

科学领域:

整形外科手术
医疗信息学
医疗保健中的人工智能

背景情况:

周围假肢关节感染 (PJIs) 是整体关节置换的主要并发症,影响患者的生活质量和医疗费用.
早期及准确的PJI诊断至关重要,
人工智能为医疗保健应用提供先进的数据分析功能.

研究的目的:

审查人工智能在预测PJI中的当前应用.
探索使用的AI算法类型及其性能.
确定用于PJI诊断的AI的局限性和挑战.

主要方法:

对利用人工智能进行PJI预测的研究进行文献审查.
分析人工智能算法类型和报告的性能指标.
讨论临床实施的挑战.

主要成果:

人工智能算法显示出提高风险因素评估和预测PJI等并发症的潜力.
目前正在探索各种人工智能算法,其性能指标在研究中各不相同.
在临床应用方面存在重大挑战和局限性.

结论:

人工智能有助于提前检测和管理PJI.
需要进一步的研究和验证来克服实施障碍.
人工智能整合可以带来更高效,更准确的PJI诊断.

关键词:

关节整形人工智能关节的机器学习周围假肢关节感染

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