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Completed

NCT Number: NCT04682821

The Research of AI Assistant Gastroscope Training

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.

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Key information

Conditions

Gastroscopy Artificial Intelligence Training

Age range

18 year–70 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Renmin Hospital of Wuhan University

Wuhan, 430060, China

About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Novice endoscopists：

Inclusion criteria

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

Exclusion criteria

l:

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

Treatment and study plan

Artificial intelligence assistant system

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.

Primary outcomes

  1. Gastroscopy operation score

    Time frame: three month

    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.

Secondary outcomes

  1. Coverage rate of blind spots in gastroscopy

    Time frame: three month

    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%.

  2. Check the average test score before and after training

    Time frame: three month

    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.

  3. Training satisfaction

    Time frame: three month

    An AI assistant group fills out a questionnaire after training, and determines the satisfaction with AI assistant training through a grading method.

  4. Detection rate of lesions

    Time frame: three month

    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%.

Sponsors and collaborators

Lead sponsor

Renmin Hospital of Wuhan University

Other

Registry information

Official study title

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

Important dates

Study start
2020
Primary completion
2021
Study completion
2021
First posted
Dec 24, 2020
Registry last updated
Oct 26, 2021

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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