Effects of artificial intelligence assistance on endoscopist performance: Comparison of diagnostic performance in superficial esophageal squamous cell carcinoma detection using video-based models.

Journal: DEN open
Published Date: May 2, 2025

Abstract

OBJECTIVES: Superficial esophageal squamous cell carcinoma (ESCC) detection is crucial. Although narrow-band imaging improves detection, its effectiveness is diminished by inexperienced endoscopists. The effects of artificial intelligence (AI) assistance on ESCC detection by endoscopists remain unclear. Therefore, this study aimed to develop and validate an AI model for ESCC detection using endoscopic video analysis and evaluate diagnostic improvements.

Authors

  • Naoki Aoyama
    Department of Gastroenterology and Endoscopy National Cancer Center Hospital East Chiba Japan.
  • Keiichiro Nakajo
    Department of Gastroenterology and Endoscopy National Cancer Center Hospital East Chiba Japan.
  • Maasa Sasabe
    Department of Gastroenterology and Endoscopy National Cancer Center Hospital East Chiba Japan.
  • Atsushi Inaba
    Department of Gastroenterology and Endoscopy National Cancer Center Hospital East Chiba Japan.
  • Yuki Nakanishi
    Department of Gastroenterology and Hepatology Kyoto University Graduate School of Medicine Kyoto Japan.
  • Hiroshi Seno
    Department of Legal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195, Japan.
  • Tomonori Yano
    Department of Gastroenterology and Endoscopy National Cancer Center Hospital East Chiba Japan.

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