Status:
UNKNOWN
The Use of AI to Improve Quality of OGD
Lead Sponsor:
Chinese University of Hong Kong
Conditions:
Dyspepsia
Anemia
Eligibility:
All Genders
18+ years
Brief Summary
Early and accurate recognition of gastrointestinal lesions has implications for public health. The quality of oesophagogastroduodenoscopy (OGD) has great impact on the detection of oesophageal and gas...
Eligibility Criteria
Inclusion
- All patients aged \>= 18 years old
- Undergoing diagnostic OGD for evaluation of their symptoms in the Prince of Wales Hospital will be included in the study.
Exclusion
- Patients in which a full endoscopic examination is not required including patients with a specific diagnostic purpose without the need for a full evaluation, follow-up endoscopy within 8 weeks for a previously diagnosed disease or condition,
- Patients' condition requiring therapeutic endoscopy,
- Early termination of endoscopy due to patient intolerance, presence of large amount of food residue, presence of mechanical obstruction or for reasons of safety,
- Patients with altered anatomy such as history of esophagectomy, gastrectomy, gastric bypass surgery, or Whipple's operation,
- Patient who are not suitable for EGD examination (such as acute peritonitis with suspected perforated bowel)
- Pregnant females
- Patients who refuse to participate in the study
- Patients who are unfit for consent.
Key Trial Info
Start Date :
May 1 2021
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
June 30 2022
Estimated Enrollment :
210 Patients enrolled
Trial Details
Trial ID
NCT04883567
Start Date
May 1 2021
End Date
June 30 2022
Last Update
May 12 2021
Active Locations (1)
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1
The Chinese University of Hong Kong
Hong Kong, Hong Kong, 0000