NCT06553911

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

• Status: Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 2,000 (estimated)
• Sponsor: Huashan Hospital · Academic / Other
• Sex: All
• Age: 1 Year – 90 Years
• Healthy volunteers: Accepted

Summary

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.

Conditions

• Respiratory Infectious Diseases
• Artificial Intelligence
• Medical Imaging

Interventions

Type	Name	Description
OTHER	Artificial Intelligence-based medical imaging interpretation	In the AI interpretation group, using clinical information, imaging data, and corresponding etiological results of the study participants, an AI diagnostic tool is established to specifically recognize patients' chest medical imaging and construct corresponding diagnostic conclusions.

Timeline

• Start date: 2022-04-01
• Primary completion: 2025-12-01
• Completion: 2026-12-01
• First posted: 2024-08-14
• Last updated: 2024-08-14

Locations

1 site across 1 country: China