Using AI tools to improve diagnosis of respiratory infections through medical imaging
Exploring the Application Efficacy of Artificial Intelligence (AI) Diagnostic Tools in Medical Imaging (MI) of Respiratory(R) Infectious (I) Disease (D)
NA · Huashan Hospital · NCT06553911
This study is testing whether using artificial intelligence with medical imaging can help doctors diagnose respiratory infections like pneumonia more accurately and quickly.
Quick facts
| Phase | NA |
|---|---|
| Study type | Interventional |
| Enrollment | 2000 (estimated) |
| Ages | 1 Year to 90 Years |
| Sex | All |
| Sponsor | Huashan Hospital (other) |
| Locations | 1 site (Shanghai) |
| Trial ID | NCT06553911 on ClinicalTrials.gov |
What this trial studies
This study explores the use of artificial intelligence diagnostic tools to enhance the accuracy and efficiency of medical imaging for respiratory infectious diseases. By integrating AI into the diagnostic process, the initiative aims to reduce the time healthcare professionals spend reviewing images and improve the sensitivity and specificity of pneumonia detection. The goal is to facilitate early identification and effective management of respiratory infections, particularly at the grassroots level. Participants will undergo imaging examinations, and their results will be analyzed using AI technology to assess its efficacy in clinical settings.
Who should consider this trial
Good fit: Ideal candidates for this study are individuals aged 1 to 90 who exhibit symptoms of respiratory tract infections and have relevant imaging data.
Not a fit: Patients with severe artifacts in medical images or those with concurrent pulmonary edema may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could significantly improve early diagnosis and treatment of respiratory infections, leading to better patient outcomes.
How similar studies have performed: Other studies have shown promise in using AI for medical imaging, indicating potential success for this approach.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. 1-90 years old, gender not specified. 2. Exhibits symptoms of respiratory tract infection 3. Must have etiological examination results 4. Must have imaging data; Exclusion Criteria: 1. Severe artifacts in medical images 2. Clinical diagnosis indicates concurrent pulmonary edema 3. Dual review results in unclear diagnosis or potential misdiagnosis 4. Other situations that may cause difficulties in reading the films, or as determined by the researcher, the study participant is deemed unsuitable for enrollment.
Where this trial is running
Shanghai
- Huashan Hospital — Shanghai, China (RECRUITING)
Study contacts
- Study coordinator: Wenhong Zhang
- Email: zhangwenhong@fudan.edu.cn
- Phone: (86)52889999
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Respiratory Infectious Diseases, Artificial Intelligence, Medical Imaging