Browsing Institutt for helse og samfunn by Author "Saito, Yutaka"

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  • Impact of Artificial Intelligence on Colonoscopy Surveillance After Polyp Removal: A Pooled Analysis of Randomized Trials 
    Mori, Yuichi; Wang, Pu; Løberg, Magnus; Misawa, Masashi; Repici, Alessandro; Spadaccini, Marco; Correale, Loredana; Antonelli, Giulio; Yu, Honggang; Gong, Dexin; Ishiyama, Misaki; Kudo, Shin-ei; Kamba, Shunsuke; Sumiyama, Kazuki; Saito, Yutaka; Nishino, Haruo; Liu, Peixi; Glissen Brown, Jeremy R.; Mansour, Nabil M.; Gross, Seth A.; Kalager, Mette; Bretthauer, Michael; Rex, Douglas K.; Sharma, Prateek; Berzin, Tyler M.; Hassan, Cesare (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
    Background and Aims Artificial intelligence (AI) tools aimed at improving polyp detection have been shown to increase the adenoma detection rate during colonoscopy. However, it is unknown how increased polyp detection rates ...
  • Impact of artificial intelligence on colorectal polyp detection for early-career endoscopists: an international comparative study 
    Ainechi, Diba; Misawa, Masashi; Barua, Ishita; Larsen, Solveig Linnea Veen; Paulsen, Vemund; Garborg, Kjetil Kjeldstad; Aabakken, Lars; Tønnesen, Christer Julseth; Løberg, Magnus; Kalager, Mette; Kudo, Shin-Ei; Hotta, Kinichi; Ohtsuka, Kazuo; Saito, Shoichi; Ikematsu, Hiroaki; Saito, Yutaka; Matsuda, Takahisa; Itoh, Hayato; Mori, Kensaku; Bretthauer, Michael; Mori, Yuichi (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    Background Artificial intelligence (AI) for polyp detection is being introduced to colonoscopy, but there is uncertainty how this affects endoscopists’ ability to detect polyps and neoplasms. We performed a video-based ...