Acid Reflux, Anemia, Dyspepsia, Dysphagia
Conditions
Keywords
oesophagogastroduodenoscopy (OGD), artificial intelligence, quality of OGD
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.
Interventions
DIAGNOSTIC_TESTThe use of artificial intelligence system Cerebro
The artificial intelligence system Cerebro would be used during OGD
Sponsors
Chinese University of Hong Kong
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
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.
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The number of sites inspected during OGD | During the procedure | There is a standardised 28 sites the trainee endoscopist need to inspect |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Overall inspection time | During the procedure | The overall inspection time during the OGD would be recorded in terms of seconds |
| 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 |
| The number of positive pathologies found on OGD | during the procedure | The number of positive pathologies found on OGD would be recorded |
Countries
Hong Kong
Contacts
Primary ContactShannon Chan
Backup ContactPhilip Chiu
Outcome results
None listed