Search Results - "Gastrointestinal endoscopy"

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    History of artificial intelligence in medicine by Kaul, Vivek, Enslin, Sarah, Gross, Seth A.

    Published in Gastrointestinal endoscopy (01-10-2020)
    “…Artificial intelligence (AI) was first described in 1950; however, several limitations in early models prevented widespread acceptance and application to…”
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    Journal Article
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    Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy by Zhu, Yan, Wang, Qiu-Cheng, Xu, Mei-Dong, Zhang, Zhen, Cheng, Jing, Zhong, Yun-Shi, Zhang, Yi-Qun, Chen, Wei-Feng, Yao, Li-Qing, Zhou, Ping-Hong, Li, Quan-Lin

    Published in Gastrointestinal endoscopy (01-04-2019)
    “…According to guidelines, endoscopic resection should only be performed for patients whose early gastric cancer invasion depth is within the mucosa or submucosa…”
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    Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video) by Misawa, Masashi, Kudo, Shin-ei, Mori, Yuichi, Hotta, Kinichi, Ohtsuka, Kazuo, Matsuda, Takahisa, Saito, Shoichi, Kudo, Toyoki, Baba, Toshiyuki, Ishida, Fumio, Itoh, Hayato, Oda, Masahiro, Mori, Kensaku

    Published in Gastrointestinal endoscopy (01-04-2021)
    “…Artificial intelligence (AI)–assisted polyp detection systems for colonoscopic use are currently attracting attention because they may reduce the possibility…”
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    Impact of a real-time automatic quality control system on colorectal polyp and adenoma detection: a prospective randomized controlled study (with videos) by Su, Jing-Ran, Li, Zhen, Shao, Xue-Jun, Ji, Chao-Ran, Ji, Rui, Zhou, Ru-Chen, Li, Guang-Chao, Liu, Guan-Qun, He, Yi-Shan, Zuo, Xiu-Li, Li, Yan-Qing

    Published in Gastrointestinal endoscopy (01-02-2020)
    “…Quality control can decrease variations in the performance of colonoscopists and improve the effectiveness of colonoscopy to prevent colorectal cancers…”
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    Novel classification for adverse events in GI endoscopy: the AGREE classification by Nass, Karlijn J., Zwager, Liselotte W., van der Vlugt, Manon, Dekker, Evelien, Bossuyt, Patrick M.M., Ravindran, Srivathsan, Thomas-Gibson, Siwan, Fockens, Paul

    Published in Gastrointestinal endoscopy (01-06-2022)
    “…Standardized registration and evaluation of adverse events (AEs) are essential to assess the safety of endoscopic procedures. We propose a novel classification…”
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    Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis by Soffer, Shelly, Klang, Eyal, Shimon, Orit, Nachmias, Noy, Eliakim, Rami, Ben-Horin, Shomron, Kopylov, Uri, Barash, Yiftach

    Published in Gastrointestinal endoscopy (01-10-2020)
    “…Deep learning is an innovative algorithm based on neural networks. Wireless capsule endoscopy (WCE) is considered the criterion standard for detecting…”
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    Real-time automated diagnosis of precancerous lesions and early esophageal squamous cell carcinoma using a deep learning model (with videos) by Guo, LinJie, Xiao, Xiao, Wu, ChunCheng, Zeng, Xianhui, Zhang, Yuhang, Du, Jiang, Bai, Shuai, Xie, Jia, Zhang, Zhiwei, Li, Yuhong, Wang, Xuedan, Cheung, Onpan, Sharma, Malay, Liu, Jingjia, Hu, Bing

    Published in Gastrointestinal endoscopy (01-01-2020)
    “…We developed a system for computer-assisted diagnosis (CAD) for real-time automated diagnosis of precancerous lesions and early esophageal squamous cell…”
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