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人工智能能彻底改变尾切除手术决策吗? 一个叙事审查

Ali Murtada¹, Marco David Bokobza De la Rosa², Fatima Kayali³

¹Department of General Surgery, Glan Clwyd Hospital, Rhyl, UK.

Surgical innovation

|October 29, 2025

概括

人工智能 (AI) 显著改善了急性尾炎的诊断和预后,优于传统方法. 这些先进的机器学习模型的临床集成需要进一步的标准化.

科学领域:

医疗成像医学成像
计算生物学计算生物学
手术诊断手术诊断的使用方法

背景情况:

急性尾炎是急性腹部的常见原因,但误诊和负面尾切除仍然存在.
人工智能 (AI) 的进步,包括机器学习 (ML) 和深度学习,为诊断挑战提供了潜在的解决方案.

研究的目的:

对AI在诊断和预测急性尾炎中的应用进行文献审查.
与传统诊断分数相比,评估各种AI模型的有效性.

主要方法:

进行了关于人工智能用于尾炎诊断和预后的文献综述.
包括来自PubMed和Cochrane数据库的研究,不包括仅基于临床或放射学报告的研究.

主要成果:

人工智能模型,特别是随机森林 (RF),表现出高的诊断准确性,超过了传统的得分,如阿尔瓦拉多得分.
机器学习方法 (SVM,XGBoost) 有效地预测了预后,并确定了复杂的尾炎病例.
神经网络 (NN) 和逻辑回归 (LR) 也在诊断方面显示出有希望的结果.

结论:

人工智能具有显著的潜力,可以改善急性尾炎的诊断和预后.
解决数据要求和标准化对于人工智能在尾炎管理中的广泛临床采用至关重要.

关键词:

这是尾切除术.尾炎是一种尾炎.人工智能的人工智能是人工智能.

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