An interventional study of Artificial intelligence assistant system in Gastroscopy, Training and Artificial Intelligence, sponsored by Renmin Hospital of Wuhan University. Completed at 1 site in China. Open to participants aged 18 Years to 70 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2021-10-26.
Sponsored by Renmin Hospital of Wuhan University · Not applicable, Interventional, and Screening
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.
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.
Renmin Hospital of Wuhan University is the lead sponsor of 83 studies on the registry; 27 are open to participants now.
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Novice endoscopists：
Inclusion Criteria:
Exclusion Criterial:
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.
Other: 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.
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.
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.
Time frame: three month
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%.
Time frame: three month
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.
Time frame: three month
Training satisfaction
An AI assistant group fills out a questionnaire after training, and determines the satisfaction with AI assistant training through a grading method.
Time frame: three month
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%.
Time frame: three month
Plan to share: No
This study is completed, as verified in Dec 2020. You cannot join it, but the record below documents what was studied.
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Renmin Hospital of Wuhan University