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The Research of AI Assistant Gastroscope Training

NCT ID: NCT04682821

Last Updated: 2021-10-26

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

288 participants

Study Classification

INTERVENTIONAL

Study Start Date

2020-12-23

Study Completion Date

2021-06-26

Brief Summary

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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.

Detailed Description

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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

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Gastroscopy Training Artificial Intelligence

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

SCREENING

Blinding Strategy

DOUBLE

Participants Outcome Assessors

Study Groups

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with Artificial intelligence assistant system

The experiment group would receive the training with the help of 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.

Group Type EXPERIMENTAL

Artificial intelligence assistant system

Intervention Type OTHER

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.

without Artificial intelligence assistant system

The control group would receive the training without the help of artificial intelligence assistant system. That is, they would receive the common training process.

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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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.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

1. Males or females who are over 18 years old;
2. After qualified medical education and obtained the Certificate of Chinese medical practitioner;

Exclusion Criteria

1. A doctor who has already been trained in gastroenteroscopy;
2. Doctors without qualified medical education and didn't obtaine the Certificate of Chinese medical practitioner;
3. The researcher believes that the subjects are not suitable for participating in clinical trials.
Minimum Eligible Age

18 Years

Maximum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Renmin Hospital of Wuhan University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Honggang W Yu, Doctor

Role: PRINCIPAL_INVESTIGATOR

Renmin Hospital of Wuhan University

Locations

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Renmin Hospital of Wuhan University

Wuhan, , China

Site Status

Countries

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China

References

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Huang L, Liu J, Wu L, Xu M, Yao L, Zhang L, Shang R, Zhang M, Xiong Q, Wang D, Dong Z, Xu Y, Li J, Zhu Y, Gong D, Wu H, Yu H. Impact of Computer-Assisted System on the Learning Curve and Quality in Esophagogastroduodenoscopy: Randomized Controlled Trial. Front Med (Lausanne). 2021 Dec 14;8:781256. doi: 10.3389/fmed.2021.781256. eCollection 2021.

Reference Type DERIVED
PMID: 34970565 (View on PubMed)

Other Identifiers

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EA-19-003-19

Identifier Type: -

Identifier Source: org_study_id