基于规则的专家系统可以通过鼻内镜视频诊断鼻腔阻塞吗?
Annakan Navaratnam1, Nonpawith Phoommanee2, Vikas Acharya1
1Department of ENT, Royal National ENT and Eastman Dental Hospitals, London, United Kingdom.
Facial plastic surgery : FPS
|July 16, 2025
概括
基于规则的专家系统 (RB-ES) 在诊断鼻腔阻塞状况方面表现有前途,例如具有鼻息肉的慢性鼻炎 (CRSwNP). 该系统的性能与耳鼻喉 (ENT) 专家的性能相当.
科学领域:
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 鼻腔阻塞呈现出不同的病因,需要专门的内镜评估.
- 在某些医疗机构,对耳鼻喉 (ENT) 专家的访问可能受到限制.
- 基于规则的专家系统 (RB-ES) 提供了一个潜在的解决方案,以帮助诊断鼻子疾病.
研究的目的:
- 为了评估RB-ES对常见鼻阻塞条件的诊断性能.
- 为了比较RB-ES诊断准确度与经验丰富的耳,耳,耳,耳专家.
- 评估该系统在获得专业护理的机会有限的环境中的实用性.
主要方法:
- 一项前性队列研究涉及71名参与者 (65名患者,6名对照).
- 鼻腔内镜在脱血前后进行.
- 诊断由四名耳鼻科医生建立,并与RB-ES输出进行了比较.
主要成果:
- 在所有评估条件 (p > 0.05) 中,RB-ES对 ENT 专家的敏感性相似.
- 对于诊断带有鼻息肉的慢性鼻炎 (CRSwNP) 观察到最高的灵敏度.
- RB-ES的整体特异性仍然很高,与CRSwNP的专业性能相匹配.
结论:
- RB-ES显示出作为鼻腔阻塞,特别是CRSwNP的诊断辅助的潜力.
- 建议通过扩展数据集和人工智能集成进行进一步的验证.
- 在资源有限的环境中,RB-ES可能会提高诊断能力.
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