PR089/#862  Artificial intelligence-based diagnostic system for the detection of abnormal colposcopic findings

Akihiko Ueda; Ken Yamaguchi; Sachiko Kitamura; Mana Taki; Koji Yamanoi; Ryusuke Murakami; Junzo Hamanishi; Masatsugu Ueda; Masaki Mandai

doi:10.1136/ijgc-2023-IGCS.125

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PR089/#862 Artificial intelligence-based diagnostic system for the detection of abnormal colposcopic findings

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Akihiko Ueda Kyoto University Graduated School of Medicine, Gynecology and Obstetrics, Kyoto, Japan PubMed articles Google scholar articles
Ken Yamaguchi Kyoto University Graduated School of Medicine, Gynecology and Obstetrics, Kyoto, Japan PubMed articles Google scholar articles
Sachiko Kitamura Kyoto University Graduated School of Medicine, Gynecology and Obstetrics, Kyoto, Japan PubMed articles Google scholar articles
Mana Taki Kyoto University Graduated School of Medicine, Gynecology and Obstetrics, Kyoto, Japan PubMed articles Google scholar articles
Koji Yamanoi Kyoto University Graduated School of Medicine, Gynecology and Obstetrics, Kyoto, Japan PubMed articles Google scholar articles
Ryusuke Murakami Kyoto University Graduated School of Medicine, Gynecology and Obstetrics, Kyoto, Japan PubMed articles Google scholar articles
Junzo Hamanishi Kyoto University Graduated School of Medicine, Gynecology and Obstetrics, Kyoto, Japan PubMed articles Google scholar articles
Masatsugu Ueda Kio University, Faculty of Health Sciences and Cytology Training Center, Nara, Japan PubMed articles Google scholar articles
Masaki Mandai Kyoto University Graduated School of Medicine, Gynecology and Obstetrics, Kyoto, Japan PubMed articles Google scholar articles

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Ueda A, Yamaguchi K, Kitamura S, et al

PR089/#862 Artificial intelligence-based diagnostic system for the detection of abnormal colposcopic findings

International Journal of Gynecologic Cancer 2023;33:A80-A81.

Publication history

First published November 7, 2023.

Online issue publication

November 07, 2023

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