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The Research of AI Assistant Gastroscope Training

NCT04682821 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 288

Last updated 2021-10-26

No results posted yet for this study

Summary

In this study, we proposed a prospective study about the effectiveness of artificial intelligence system for gastroscope training in novice endoscopists. The subjects would be divided into two groups. The experimental group would be trained in painless gastroscopy with the assistance of the artificial intelligence assistant system. The artificial intelligence assistant system can prompt abnormal lesions and the parts covered by the examination (the stomach is divided into 26 parts). The control group would receive routine painless gastroscopy training without special prompts. Then we compare the gastroscopy operation score, coverage rate of blind spots in gastroscopy,check the average test score before and after training, training satisfaction, detection rate of lesions and so on between the two group.

Conditions

  • Gastroscopy
  • Training
  • Artificial Intelligence

Interventions

OTHER

Artificial intelligence assistant system

The intervention is the use of the artificial intelligence assistant system in addition to the common training. The system is an non-invasive AI system which could help the endoscopists to diagnosis and monitor the blind spot during the gastroscope.

Sponsors & Collaborators

  • Renmin Hospital of Wuhan University

    lead OTHER

Principal Investigators

  • Honggang W Yu, Doctor · Renmin Hospital of Wuhan University

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-12-23
Primary Completion
2021-05-25
Completion
2021-06-26

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04682821 on ClinicalTrials.gov