Evaluation of the Clinical Effectiveness of Upper Gastrointestinal Endoscopy Reporting System

Sponsor
Renmin Hospital of Wuhan University (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05851885
Collaborator
(none)
125
2
12

Study Details

Study Description

Brief Summary

The objective of this study is to assess the effectiveness of an AI-based reporting system for upper gastrointestinal endoscopy. The primary question that this study aims to address is whether the reporting system can enhance the completeness and accuracy of endoscopic reports when assisted by AI, as drafted by endoscopists. Patients will be randomly assigned to either the experimental group or the control group. In the experimental group, physicians will draft EGD reports with the assistance of the AI-based reporting system, while in the control group, physicians will use the conventional reporting system to draft EGD reports. At the same time, the AI-based reporting system will automatically generate a report of the EGD examination.

Condition or Disease Intervention/Treatment Phase
  • Diagnostic Test: AI-based reporting system
N/A

Study Design

Study Type:
Interventional
Anticipated Enrollment :
125 participants
Allocation:
Randomized
Intervention Model:
Parallel Assignment
Masking:
Single (Participant)
Primary Purpose:
Diagnostic
Official Title:
A Single-center, Prospective, Parallel Randomized Controlled Study Evaluating the Clinical Effectiveness of an Intelligent Graphic Report System for Upper Gastrointestinal Endoscopy
Anticipated Study Start Date :
May 20, 2023
Anticipated Primary Completion Date :
Apr 20, 2024
Anticipated Study Completion Date :
May 20, 2024

Arms and Interventions

Arm Intervention/Treatment
Experimental: Experimental group

Physicians draft EGD reports with the assistance of the AI-based reporting system.

Diagnostic Test: AI-based reporting system
AI-based reporting system is a software platform for real-time analysis and records of abnormalities and landmarks during endoscopy.

No Intervention: Control group

Physicians use the conventional reporting system to draft EGD reports. At the same time, the AI-based reporting system will automatically generate a report of the EGD examination.

Outcome Measures

Primary Outcome Measures

  1. Completeness of reporting lesions [one month]

    Calculation method = number of report lesions / total number of lesions x 100%

Secondary Outcome Measures

  1. Completeness of report drafting on lesion features [one month]

    Calculation method = number of drafted features of lesions / total number of features required to be drafted x 100%

  2. Accuracy of report drafting on lesion features [one month]

    Calculation method = number of accurately drafted features of lesions / total number of drafted features x 100%

  3. Reporting time [one month]

    The time that endoscopists draft reports

  4. Completeness of reporting lesions of AI system [one month]

    Calculation method = number of report lesions / total number of lesions x 100%

  5. Accuracy of report drafting on lesion features of AI system [one month]

    Calculation method = number of accurately drafted features of lesions / total number of drafted features x 100%

  6. Physician satisfaction survey [one month]

    Use 5-point Likert scale to assess physician satisfaction, acceptance, and trust in using the intelligent graphic report system to draft endoscopic reports.

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
Yes
Inclusion Criteria:
  1. Aged 18 years

  2. Aim to undergo screening, surveillance, and diagnosis

  3. Undergo sedated EGD

  4. Able to read, understand, and sign informed consent

Exclusion Criteria:
  1. EGD contraindications

  2. Not suitable for sedated endoscopy after anaesthesia evaluation

  3. Biopsy contraindications

  4. Active upper gastrointestinal bleeding or emergency oesophagogastroduodenoscopy (EGD)

  5. Pregnancy

  6. Upper gastrointestinal surgery or residual stomach

  7. Not suitable for recruitment after investigator evaluation because of other high-risk conditions

Contacts and Locations

Locations

No locations specified.

Sponsors and Collaborators

  • Renmin Hospital of Wuhan University

Investigators

  • Principal Investigator: Honggang Yu, MD, Wuhan University Renmin Hospital

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Renmin Hospital of Wuhan University
ClinicalTrials.gov Identifier:
NCT05851885
Other Study ID Numbers:
  • EA-23-007
First Posted:
May 10, 2023
Last Update Posted:
May 10, 2023
Last Verified:
Apr 1, 2023
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No

Study Results

No Results Posted as of May 10, 2023