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Application of artificial intelligence for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging
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Yusuke Horiuchi, Toshiaki Hirasawa, Junko Fujisaki
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Clin Endosc 2024;57(1):11-17. Published online January 5, 2024
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DOI: https://doi.org/10.5946/ce.2023.173
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 Abstract
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- Although magnifying endoscopy with narrow-band imaging is the standard diagnostic test for gastric cancer, diagnosing gastric cancer using this technology requires considerable skill. Artificial intelligence has superior image recognition, and its usefulness in endoscopic image diagnosis has been reported in many cases. The diagnostic performance (accuracy, sensitivity, and specificity) of artificial intelligence using magnifying endoscopy with narrow band still images and videos for gastric cancer was higher than that of expert endoscopists, suggesting the usefulness of artificial intelligence in diagnosing gastric cancer. Histological diagnosis of gastric cancer using artificial intelligence is also promising. However, previous studies on the use of artificial intelligence to diagnose gastric cancer were small-scale; thus, large-scale studies are necessary to examine whether a high diagnostic performance can be achieved. In addition, the diagnosis of gastric cancer using artificial intelligence has not yet become widespread in clinical practice, and further research is necessary. Therefore, in the future, artificial intelligence must be further developed as an instrument, and its diagnostic performance is expected to improve with the accumulation of numerous cases nationwide.
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Citations
Citations to this article as recorded by  - Combination of artificial intelligence endoscopic diagnosis and Kimura‐Takemoto classification determined by endoscopic experts may effectively evaluate the stratification of gastric atrophy in post‐eradication status
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DEN Open.2025;[Epub] CrossRef - Identification and validation of serum MUC17 as a non‐invasive early warning biomarker for screening of gastric intraepithelial neoplasia
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Translational Oncology.2025; 51: 102207. CrossRef - Pitfalls in Endoscopic Submucosal Dissection for Early Gastric Cancer with Papillary Adenocarcinoma
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