人工智能和急性尾炎:对诊断和预测模型的系统审查
Mahbod Issaiy1,2, Diana Zarei3,4, Amene Saghazadeh5,6
1School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
World journal of emergency surgery : WJES
|December 20, 2023
概括
人工智能 (AI) 模型在诊断和预测急性尾炎 (AA) 的结果方面非常有前途,通常表现优于传统方法. 这些人工智能工具为成年患者提供更快,更准确的评估.
科学领域:
- 医疗信息学 医疗信息学
- 计算医学是一种计算医学.
- 医疗保健中的人工智能
背景情况:
- 急性尾炎 (AA) 是急诊和手术的常见原因.
- 传统的AA诊断依赖于临床评估,实验室和成像,这可能是缓慢和不准确的.
- 机器学习 (ML) 模型在AA中提供了增强诊断准确性和结果预测的潜力.
结论:
- 人工智能算法显示出诊断和预测AA的巨大潜力.
- 人工智能模型经常超过传统方法和阿尔瓦拉多等临床评分的速度和准确性.
- 需要进行进一步的研究,以解决人工智能模型研究中发现的偏见风险.
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