Using AI tools to improve diagnosis of respiratory infections through medical imaging

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

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.

Why it matters

Who can join: the full rules

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 it's running

• Huashan Hospital
  Shanghai, China Recruiting

Study contacts

• Study coordinator: Wenhong Zhang
• Email: zhangwenhong@fudan.edu.cn
• Phone: (86)52889999

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.