Exploring the Application Efficacy of Artificial Intelligence (AI) Diagnostic Tools in Medical Imaging (MI) of Respiratory(R) Infectious (I) Disease (D)
NCT06553911
Artificial Intelligence, Medical Imaging
Shanghai, China
View Trial DetailsNCT Number: NCT05965128
Relying on fever clinics, this project evaluates the clinical diagnostic efficiency of the three-level pathogen diagnostic system, monitors changes in respiratory pathogens, and realizes real-time monitoring and early warning of acute respiratory infectious diseases in Shanghai.
Interested in participating?
Request Info12 year–100 year
All sexes
Observational
Gansu Provincial People's Hospital, Lanzhou, Gansu, China
This study mainly includes subjects who enter the outpatient and emergency departments, fever clinics, and wards of each center from December 2022. According to the clinical manifestations and epidemiological information of the patients, different step-by-step detection methods will be adopted to optimize the allocation of clinical resources and improve the quality of life. This study aims to improve pathogen diagnosis efficiency and achieve regional respiratory early warning.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 48 hours
the detectioin rate of pathogenic microorganism in each step
Time frame: 48 hours
hospitalization rate
Time frame: 48 hours
rate of critical illness
Contact information is provided by the study sponsor or research team.
Jingwen Ai, M.D.
CONTACT
Wenhong Zhang, M.D.
CONTACT
Huashan Hospital
Other
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