The Use of AI to Improve Quality of OGD

Study Overview
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Brief Summary
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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.

Official Title
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The Use of Artificial Intelligence Real-time Feedback to Improve Compliance to a Standardised Protocol and Procedural Quality During Oesophagogastroduodenoscopy (OGD)

Conditions
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Dyspepsia, Anemia, Acid Reflux, Dysphagia

Intervention / Treatment
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* Diagnostic Test: The use of artificial intelligence system Cerebro


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: 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 Criteria: 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.

Ages Eligible for Study
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Minimum Age: 18 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| AI arm<br>AI would be used to assist the trainee endoscopist | Diagnostic Test: The use of artificial intelligence system Cerebro<br>* The artificial intelligence system Cerebro would be used during OGD<br>|
| Non-AI arm<br>Trainee endoscopist would perform OGD as usual. | |

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| The number of sites inspected during OGD | There is a standardised 28 sites the trainee endoscopist need to inspect | During the procedure | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Overall inspection time | The overall inspection time during the OGD would be recorded in terms of seconds | During the procedure | 
| The individual sites inspection time | The individual inspection time of the 28 sites during OGD would be recorded in terms of seconds | During the procedure | 
| The number of positive pathologies found on OGD | The number of positive pathologies found on OGD would be recorded | during the procedure | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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oesophagogastroduodenoscopy (OGD), artificial intelligence, quality of OGD