The Use of AI to Improve Quality of OGD

• Conditions: Dyspepsia; Acid Reflux; Dysphagia; Anemia
• Interventions: Diagnostic Test: The use of artificial intelligence system Cerebro

• Registration Number: NCT04883567
• Lead Sponsor: Chinese University of Hong Kong

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 gastric malignancies. An AI system, Cerebro, has been developed as a real-time recognition of a pre-defined 28 locations. This system would alert the endoscopist if the sites were not inspected with adequate time. The aim of the study is to investigate the use of AI in endoscopists-in-training during OGD to provide a real-time feedback for ensuring compliance to a standardized protocol for examination. The hypothesis is that the use of AI system Cerebro will significantly improve the compliance to the protocol and thereby reduce the blind spot rates of OGD, ensure adequate inspection time and ensure adequate photodocumentation.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2021-04-27
• Status Verified: 2021-05
• Study Start: 2021-05-01
• Study First Submitted QC: 2021-05-11
• Last Update Submitted: 2021-05-11
• Study First Posted: 2021-05-12
• Last Update Posted: 2021-05-12
• Primary Completion: 2021-12-31
• Study Completion: 2022-06-30

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 210

Inclusion Criteria

1. All patients aged >= 18 years old
2. Undergoing diagnostic OGD for evaluation of their symptoms in the Prince of Wales Hospital will be included in the study.

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Exclusion Criteria

1. 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,
2. Patients' condition requiring therapeutic endoscopy,
3. Early termination of endoscopy due to patient intolerance, presence of large amount of food residue, presence of mechanical obstruction or for reasons of safety,
4. Patients with altered anatomy such as history of esophagectomy, gastrectomy, gastric bypass surgery, or Whipple's operation,
5. Patient who are not suitable for EGD examination (such as acute peritonitis with suspected perforated bowel)
6. Pregnant females
7. Patients who refuse to participate in the study
8. Patients who are unfit for consent.

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Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
AI arm	The use of artificial intelligence system Cerebro	AI would be used to assist the trainee endoscopist

Primary Outcome Measures

Name	Time	Method
The number of sites inspected during OGD	During the procedure	There is a standardised 28 sites the trainee endoscopist need to inspect

Secondary Outcome Measures

Name	Time	Method
The number of positive pathologies found on OGD	during the procedure	The number of positive pathologies found on OGD would be recorded
The individual sites inspection time	During the procedure	The individual inspection time of the 28 sites during OGD would be recorded in terms of seconds
Overall inspection time	During the procedure	The overall inspection time during the OGD would be recorded in terms of seconds

Trial Locations

Locations (1)

The Chinese University of Hong Kong; 🇭🇰 Hong Kong, Hong Kong