Accepted for/Published in: JMIR Medical Informatics
Date Submitted: Jan 15, 2024
Open Peer Review Period: Jan 14, 2024 - Mar 10, 2024
Date Accepted: May 26, 2024
(closed for review but you can still tweet)
An umbrella review of meta-analyses on diagnostic accuracy of Artificial Intelligence in Endoscopy
ABSTRACT
Background:
Some researches have already reported the diagnostic value of Artificial Intelligence (AI) in different endoscopy outcomes. But the evidence is confusing and of varying quality.
Objective:
To comprehensively evaluate the evidence credibility of the diagnostic accuracy of artificial intelligence in endoscopy.
Methods:
The protocol has been registered in the PROSPERO (CRD42023483073) before study began. Firstly, two researchers searched from PubMed, Web of Science, Embase and, Cochrane Library using comprehensive search terms. The deadline is November 2023. Then, researchers conduct screening research and extract information. We use A Measurement Tool to Assess Systematic Reviews 2 (AMSTAR2) to evaluate the quality of the article. For the same outcome, we choose the research with higher quality evaluation for further analysis. In order to ensure the reliability of the conclusion, we have calculated each outcome again. Finally, the Grading of Recommendations Assessment, Development and Evaluation (GRADE) is used to evaluate the credibility of the outcome.
Results:
A total of 21 studies were included for analysis. Through AMSTAR2, it was found that eight research methodology was of moderate quality, while other studies were regarded as low or critical low. The sensitivity and specificity of 17 different outcomes were analyzed. GRADE evaluation suggests that the reliability of most outcomes is low or very low credibility.
Conclusions:
Although there have been many researches and analyses of AI in endoscopy, and it have shown good diagnostic value. However, the credibility of the outcome is still insufficient. High-quality research is still needed in the future. Clinical Trial: CRD42023483073
Citation
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