Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric Lesion: A Randomized Clinical Trial
Status: Recruiting
Location: See location...
Intervention Type: Other
Study Type: Observational
SUMMARY
The aim of this study is to evaluate the impact of artificial intelligence (AI) assistance during routine upper endoscopy on gastric cancer-specific mortality. We hypothesize that AI-assisted endoscopic interpretation can further reduce gastric cancer-related mortality through two mechanisms: (1) improved detection of H. pylori infection, facilitating timely eradication therapy and subsequent prevention of gastric carcinogenesis; and (2) earlier identification of premalignant gastric conditions, enabling appropriate surveillance endoscopy and earlier detection of gastric cancer. The primary endpoint is gastric cancer-specific mortality.
Eligibility
Participation Requirements
Sex: All
Minimum Age: 20
Maximum Age: 80
Healthy Volunteers: f
View:
• Age 20-80
• Scheduled 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: 2028-12-31
Participants
Target number of participants: 6000
Treatments
Routine endoscopy alone
Routine endoscopy without artificial intelligence assistance
Routine endoscopy with artificial intelligence-assisted interpretation
Routine endoscopy assisted by artificial intelligence to enhance the detection of H. pylori infection and premalignant gastric conditions.
Related Therapeutic Areas
Sponsors
Leads: National Taiwan University Hospital