Exploring the Application Efficacy of Artificial Intelligence (AI) Diagnostic Tools in Medical Imaging (MI) of Respiratory(R) Infectious (I) Disease (D)

Launched by HUASHAN HOSPITAL · Aug 12, 2024

Keywords

ClinConnect Summary

This clinical trial, called AI-MID, is studying how artificial intelligence (AI) can help doctors diagnose respiratory infectious diseases, like pneumonia, more quickly and accurately using medical imaging, such as X-rays or CT scans. By using AI tools, the goal is to reduce the time doctors spend looking at these images, improve their ability to spot pneumonia, and ultimately enhance patient care, especially in community healthcare settings.

To participate in this trial, individuals aged between 1 and 90 years who have symptoms of a respiratory infection and have undergone specific tests and imaging would be eligible. Participants can expect to have their medical images analyzed with the help of AI, which could lead to a faster and more accurate diagnosis. It's important to note that people with certain conditions, such as severe image artifacts or specific diagnoses that complicate interpretation, may not be suitable for this study. Overall, this research aims to improve how respiratory diseases are diagnosed and treated, benefiting both patients and healthcare providers.

Gender

ALL

Eligibility 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.