Exploring the Application Efficacy of Artificial Intelligence (AI) Diagnostic Tools in Medical Imaging (MI) of Respiratory(R) Infectious (I) Disease (D)
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 2,000
- 试验地点
- 1
- 主要终点
- Evaluating the Diagnostic Efficacy of Artificial Intelligence Diagnostic Tools in Medical Imaging of Respiratory Infectious Diseases
研究概览
简要总结
The early identification and severe warning of acute respiratory infectious diseases are of paramount importance. Utilizing effective means to make correct diagnoses of the source of infection at an early stage is the premise of all effective measures. AI-MID is a research initiative that uses artificial intelligence tools to assist in the clinical medical imaging diagnosis of respiratory diseases, aiming to reduce the time doctors spend reviewing images, increase work efficiency, and enhance the sensitivity and specificity of pneumonia detection, thereby improving the detection rate of pneumonia at the grassroots level. This approach facilitates precise prevention, accurate diagnosis, and precise treatment.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Diagnostic
- 盲法
- None
入排标准
- 年龄范围
- 1 Year 至 90 Years（Child, Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •1-90 years old, gender not specified.
- •Exhibits symptoms of respiratory tract infection
- •Must have etiological examination results
- •Must have imaging data;
排除标准
- •Severe artifacts in medical images
- •Clinical diagnosis indicates concurrent pulmonary edema
- •Dual review results in unclear diagnosis or potential misdiagnosis
- •Other situations that may cause difficulties in reading the films, or as determined by the researcher, the study participant is deemed unsuitable for enrollment.
结局指标
主要结局
Evaluating the Diagnostic Efficacy of Artificial Intelligence Diagnostic Tools in Medical Imaging of Respiratory Infectious Diseases
时间窗: 2 years
To evaluate the diagnostic efficacy of computer-aided detection (CAD) software in the identification of pulmonary infections, the study will employ the following methods: Imaging Criteria: Experienced radiologists will interpret the medical imaging of study participants, serving as the imaging standard. Computer-Aided Detection: Concurrently, the CAD software will analyze the participants' medical imaging to generate diagnostic results. Efficacy Assessment: The accuracy and consistency of the CAD software will be evaluated by comparing its interpretations with the diagnoses made by the radiologists.
次要结局
- Utilizing artificial intelligence tools for early identification and severe warning of respiratory infectious diseases(2 years)
研究者
Wen-hong Zhang
Director of Division of Infectious Diseases
Huashan Hospital