The Journal of Japan Society for Laser Surgery and Medicine
Online ISSN : 1881-1639
Print ISSN : 0288-6200
ISSN-L : 0288-6200
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Artificial Intelligence–Based Diagnostic System for Esophageal Endoscopy
Kotaro Waki , Ryu Ishihara, Ayaka Shoji, Takahiro Inoue, Katunori Matsueda, Muneaki Miyake, Hiromu Fukuda, Satoki Shichijo, Akira Maekawa, Takashi Kanesaka, Yoji Takeuchi, Koji Higashino, Noriya Uedo, Tomoki Michida, Yasuhito Tanaka, Yusuke Kato, Tomohiro Tada
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Keywords: AI, esophageal squamous cell carcinoma (ESCC), detection, differentiation between cancerous and benign lesions, diagnosis of invasion depth of cancerous lesions
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2022 Volume 42 Issue 4 Pages 246-254

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Abstract

In cooperation with AI Medical Service Inc., we have developed various artificial intelligence (AI)-based diagnostic systems for endoscopy of various organs. Particularly for esophageal squamous cell carcinoma, we have developed AI-based systems that support all phases of clinical diagnostic processes. We recently reported that AI assistance significantly improved the detection rate of lesions without reducing specificity on videos simulating overlooking situation. We are currently moving toward commercialization of the AI-based endoscopic diagnostic system for esophageal cancer.

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© 2022 Japan Society for Laser Surgery and Medicine
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