Session Details

[O10][Oral Presentation O10] AI in GI Endoscopy

Fri. Sep 5, 2025 1:40 PM - 2:40 PM JST
Fri. Sep 5, 2025 4:40 AM - 5:40 AM UTC
Room 701 (7F "701")
Chairs: Masashi Misawa (Digestive Disease Center, Showa Medical University Northern Yokohama Hospital), Ayaka Takasu (Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research)

[O10-1]Endoscopic diagnosis of intestinal METAPLASIA OF the GASTRIC mucosa IN WHITE LIGHT imaging USING ARTIFICIAL INTELLIGENCE.

*Iuliia Sergeevna Sigaeva1, Evgeniy Fedorov2, Nataliia Obukhova3,4, Alexandr Motyko3,4, Olga Savelieva3,4 (1.Group of companies "My Medical Centre", Gelendzhik, Russian Federation, 2.Russian National Research Medical University named after N.I. Pirogov, Moscow, Russian Federation, 3.Sait Petersburg Universiti, St. Petersburg, Russian Federation, 4.Saint Petersburg State Electrotechnical University of LETI named after V.I. Ulyanov Lenin, St. Petersburg, Russian Federation)

[O10-2]Development of a Multimodal Explainable Deep-Learning Model Incorporating Domain Knowledge for Early Gastric Cancer Detection AND Diagnosis

*Lihe Liu, Rui Li, Jinzhou Zhu, Airong Wu (The First Affiliated Hospital of Soochow University)

[O10-3]Enhanced Accuracy in Computer-assisted Gastric Cancer Detection Through Linked Color Imaging

*Takeshi Yasuda, Narutoshi Ando, Tamae Hashimoto, Yoshiaki Kanai, Yoichi Sakamoto, Yuki Endo, Tomohiro Soda, Takako Akazawa, Tsuguhiro Matsumoto, Norihito Yamauchi, Akira Muramatsu, Hiromu Kutsumi (Akashi City Hospital)

[O10-4]AI study on the diagnostic ability of YOLOX for small intestinal angiodysplasia

*Reo Kobayashi1, Ken Inoue1, Satoshi Sugino2, Taku Kano1, Haruna Horikawa1, Junki Yumoto1, Naoto Iwai1, Ryohei Hirose1,3, Toshifumi Doi1, Osamu Dohi1, Naohisa Yoshida1, Kazuhiko Uchiyama1, Takeshi Ishikawa1, Tomohisa Takagi1, Sayaka Iseki4, Hayato Togashi4, Kaito Sakuragi4, Toru Sakamoto4, Hideyuki Konishi1, Hisanori Horiuchi5 (1.Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, 2.Department of Gastroenterology and Hepatology, Kyoto Tanabe Central Hospital, 3.Department of Infectious Diseases, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 4.Department of Clinical Engineer, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, 5.Department of Molecular and Cellular Biology, Institute of Development, Aging and Cancer, Tohoku University)

[O10-5]Capsule Artificial intelligence (AI) automatic diagnosis using new Generative AI system Efficient Generative Adversarial Network (GAN): A pilot study

*Yoriaki Komeda1, Hisashi Handa2, Yuto Tachibana2, Naoko Tsuji1, Hiroshi Kashida1, Masatoshi Kudo1 (1.Kindai University Faculty of Medicine, Department of Gastroenterology and Hepatology, 2.Faculty of Science and Engineering, Kindai University)

[O10-6]Evaluation of computer-aided detection with and without endocuff for colorectal adenoma detection: a pilot study

Thuy Minh Le, *Khanh Cong Pham (Tam Anh General Hospital, Ho Chi Minh City, Vietnam)

[O10-7]MULTI-MODAL LARGE LANGUAGE MODELS VERSUS DEEP LEARNING FOR ENDOSCOPIC DETECTION OF COLORECTAL POLYPS.

*Davide Massimi1, Luca Carlini2, Chiara Lena2, Marco Spadaccini1, Giulio Antonelli3, Roberto De Sire1, Ludovico Alfarone1, Roberta Maselli1, Maddalena Menini1, Tommy Rizkala1, Antonio Capogreco1, Elena De Momi2, Alessandro Repici1, Cesare Hassan1 (1.IRCCS Humanitas Research Hospital, 2.Politecnico di Milano, 3.Ospedale dei Castelli)

[O10-8]AI-Driven Polyp Surveillance Recommendations: A Single-Centre Evaluation

*James Weiquan Li1, Tiang Guan Bernard Koh2, Srinath Sridharan2, Nicholas Chin Hock Tee1, Manejero Fria May Gloriba1, Kwong Ming Fock1 (1.Changi General Hospital, Gastroenterology and Hepatology, 2.Changi General Hospital, Data Science and Intelligence)