The Research of AI Assistant Gastroscope Training

Wuhan University

Status: Completed

Conditions: Training; Artificial Intelligence; Gastroscopy

Treatments: Other: Artificial intelligence assistant system

Study type: Interventional

Funder types: Other

Identifiers

NCT04682821

EA-19-003-19

Details and patient eligibility

About

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.

Full description

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.

Enrollment: 288 patients

Sex: All

Ages: 18 to 70 years old

Volunteers: Accepts Healthy Volunteers

Inclusion and exclusion criteria

Novice endoscopists：

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 Criterial:

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.

Trial design

Primary purpose: Screening

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Double Blind

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288 participants in 2 patient groups

with Artificial intelligence assistant system

Experimental group

Description:

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.

Treatment:

Other: Artificial intelligence assistant system

without Artificial intelligence assistant system

No Intervention group

Description:

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