The Research of AI Assistant Gastroscope Training

Artificial Intelligence Clinical Trial

Official title:

The Research of Artificial Intelligence Assistance System Effectiveness for Novice Endoscopists Gastroscopy Training

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04682821
• Other study ID #: EA-19-003-19
• Status: Completed
• Phase: N/A
• Start date: December 23, 2020
• Est. completion date: June 26, 2021

Study information

• Verified date: December 2020
• Source: Renmin Hospital of Wuhan University
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial 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.

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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 288
• Est. completion date: June 26, 2021
• Est. primary completion date: May 25, 2021
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years to 70 Years

Eligibility

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.

Related Conditions & MeSH terms

• Artificial Intelligence
• Gastroscopy
• Training

Intervention

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.

Locations

Country	Name	City	State
China	Renmin Hospital of Wuhan University	Wuhan

Sponsors (1)

Lead Sponsor	Collaborator
Renmin Hospital of Wuhan University

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Gastroscopy operation score	Using a professional gastroscopy operation scoring scale, the full score is 100 points, and the score is divided into small items. In this experiment, the effect of training between the two groups was compared by comparing the scores of gastroscopy operation in the experimental group and the control group.	three month
Secondary	Coverage rate of blind spots in gastroscopy	Evaluate the gastroscope operation videos retained by each physician during the examination, and calculate the coverage of 26 parts of the gastric mucosa in the experimental group and the control group during the examination. The calculation method is: the coverage rate of the blind area of the gastroscopy = the actual number of parts covered by the examination/26 parts of the stomach x 100%.	three month
Secondary	Check the average test score before and after training	the difference between the theoretical test score after the training and the theoretical test score before the training, the calculation method: the theoretical test score after the training-the theoretical test score before the training.	three month
Secondary	Training satisfaction	An AI assistant group fills out a questionnaire after training, and determines the satisfaction with AI assistant training through a grading method.	three month
Secondary	Detection rate of lesions	the detection rate of lesions in the experimental group and the control group by gastroscopy. Calculation method = number of gastroscopes with detected lesions/total number of gastroscopes completed by beginner physicians x 100%.	three month