Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric Lesion: A Multihospital Study
Status: Recruiting
Location: See location...
Study Type: Observational
SUMMARY
The aim of this diagnostic accuracy study is to evaluate the application of artificial intelligence on the diagnosis of Helicobacter pylori infection and premalignant gastric lesions based on upper endoscopic images. We use techniques of artificial intelligence to analyze the correlation between endoscopic images and urea breath test results/histopathological results.
Eligibility
Participation Requirements
Sex: All
Minimum Age: 20
Maximum Age: 80
Healthy Volunteers: f
View:
• Age 20-80
• Scheduled urea breath test and endoscopy
Locations
Other Locations
Taiwan
Yi-Chia Lee
RECRUITING
Taipei
Contact Information
Primary
Yi-Chia Lee, MD, PhD
yichialee@ntu.edu.tw
886-2-23123456
Backup
Tsung-Hsien Chiang, MD,PhD
thchiang@ntu.edu.tw
886-2-23123456
Time Frame
Start Date: 2021-12-24
Estimated Completion Date: 2026-12-31
Participants
Target number of participants: 2000
Treatments
Helicobacter pylori infection and premalignant gastric lesion
Application of artificial intelligence to analyze the correlation between endoscopic images and urea breath test results/histopathological results.
Related Therapeutic Areas
Sponsors
Leads: National Taiwan University Hospital