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  1. 101

    Evaluation of Artificial Intelligence: Computer-aided Detection of Colorectal Polyps by Yuya Hiratsuka, Takashi Hisabe, Kensei Ohtsu, Tatsuhisa Yasaka, Kazuhiro Takeda, Masaki Miyaoka, Yoichiro Ono, Takao Kanemitsu, Kentaro Imamura, Teruyuki Takeda, Satoshi Nimura, Kenshi Yao

    Published 2025-01-01
    “…This study aimed to evaluate the usefulness of AI for colonoscopy using CAD-EYEⓇ (Fujifilm, Tokyo, Japan) to calculate the adenoma miss rate (AMR). Methods: This randomized, open-label, single-center, tandem study was conducted at Fukuoka University Chikushi Hospital from February 2022 to November 2022. …”
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    Examination of empirical and Machine Learning methods for regression of missing or invalid solar radiation data using routine meteorological data as predictors by Konstantinos X Soulis, Evangelos E Nikitakis, Aikaterini N Katsogiannou, Dionissios P Kalivas

    Published 2024-12-01
    “…Therefore, data users are always looking for efficient methods to substitute missing values with accurate estimations. Traditionally, empirical methods have been used for this purpose, but with the increasing accessibility and effectiveness of Machine Learning (ML) methods, it is plausible that the former will be replaced by the latter. …”
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