基于医生的诊断与人工智能诊断算法的有效性,用于在墨西哥检测传染性发烧性疾病
Enrique Alonso Medina Fuentes1, Carmen Alicia Ruíz Valdez1, Porfirio Felipe Hernández Bautista2
1Hospital General Regional No. 1 Obregón, Instituto Mexicano del Seguro Social, Sonora, México.
Digital health
|July 3, 2025
概括
在发烧患者中检测传染病的诊断算法显示出不同的有效性. 人工智能算法提供高特异性,而医学诊断算法在发烧诊断的灵敏度方面表现出色.
科学领域:
- 数字健康数字健康
- 流行病学 流行病学
- 医学诊断 医学诊断 医学诊断
背景情况:
- 发烧是患者评估和疾病监测的关键症状.
- 数字医学在现代医疗保健中发挥着至关重要的作用.
- 准确诊断传染病对于公共卫生至关重要.
研究的目的:
- 评估发烧患者感染性疾病的不同算法的诊断准确性.
- 为了比较人工智能 (AI) 和传统医疗诊断算法的性能.
- 为了评估医院环境中的诊断有效性,进行流行病学监测.
主要方法:
- 从2022年1月到2023年12月进行的观察性,描述性,回顾性研究.
- 对909例被诊断患有20种传染病的发烧患者的病例进行分析.
- 对多个诊断算法的灵敏度,特异性,预测值和Youden的J指数的评估.
主要成果:
- 一种复合诊断算法显示出最高的灵敏度 (99.37%).
- 基于人工智能的算法 (Mediktor®,神经网络) 显示出高特异性 (93.43%,91.24%).
- 神经网络算法获得了最高的Youden's J指数,表明了整体性能.
结论:
- 医疗诊断算法为与发烧相关的传染病提供了更高的灵敏度.
- 人工智能算法提供了更高的特异性,对于排除疾病至关重要.
- 算法选择应根据临床背景平衡敏感性和特异性.
相关概念视频
01:18Steps in Outbreak Investigation
780
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
780
01:24Automated Microbial Diagnostics
83
Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...
83