Yuichi Mori

Image of Yuichi Mori
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Mobile phone +47 40894135 +47 40894135
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Visiting address Sognsvannsveien 21 Bygg 20 Gaustad sykehus 0372 Oslo
Postal address Postboks 1089 Blindern 0317 Oslo

- Professor, Institute of Health and Society, Faculty of Medicine, University of Oslo

- Consultant gastroenterologist, Oslo University Hospital

- Visiting Professor, Humanitas University (Milan, Italy)

- Visiting Lecturer, Showa University Northern Yokohama Hospital (Yokohama, Japan)

Tags: gastroenterology, research, colon cancer, AI

Publications

  • Halvorsen, Natalie Grace Mosteiro & Mori, Yuichi (2024). Computer-aided polyp characterization in colonoscopy: sufficient performance or not? Clinical Endoscopy (CE). ISSN 2234-2400. 57(1), p. 18–23. doi: 10.5946/ce.2023.092.
  • Patel, Harsh K.; Mori, Yuichi; Hassan, Cesare; Rizkala, Tommy; Radadiya, Dhruvil K. & Nathani, Piyush [Show all 18 contributors for this article] (2024). Lack of Effectiveness of Computer Aided Detection for Colorectal Neoplasia: A Systematic Review and Meta-Analysis of Nonrandomized Studies. Clinical Gastroenterology and Hepatology. ISSN 1542-3565. doi: 10.1016/j.cgh.2023.11.029.
  • Popescu Crainic, Ioana; Djinbachian, Roupen; Rex, Douglas K.; Barkun, Alan; Shaukat, Aasma & East, James [Show all 15 contributors for this article] (2024). Expert endoscopist assessment of colorectal polyp size using virtual scale endoscopy, visual or snare-based estimation: a prospective video-based study. Scandinavian Journal of Gastroenterology. ISSN 0036-5521. doi: 10.1080/00365521.2024.2308519.
  • Mori, Yuichi; Jin, Eun Hyo & Lee, Dongheon (2023). Enhancing artificial intelligence-doctor collaboration for computer-aided diagnosis in colonoscopy through improved digital literacy. Digestive and Liver Disease. ISSN 1590-8658. doi: 10.1016/j.dld.2023.11.033.
  • Spadaccini, Marco; Rondonotti, Emanuele; Radaelli, Franco; Mori, Yuichi; Hassan, Cesare & Repici, Alessandro (2023). Colonoscopy setting and impact on statistical significance in Artificial Intelligence trials. Endoscopy. ISSN 0013-726X. 55(12). doi: 10.1055/a-2131-3315.
  • Bretthauer, Michael; Wieszczy, Paulina; Løberg, Magnus; Kamiński, Michał Filip; Werner, Tarjei Fiskergård & Helsingen, Lise Mørkved [Show all 10 contributors for this article] (2023). Estimated Lifetime Gained with Cancer Screening Tests: A Meta-Analysis of Randomized Clinical Trials. JAMA Internal Medicine. ISSN 2168-6106. 183(11), p. 1196–1203. doi: 10.1001/jamainternmed.2023.3798.
  • Maeda, Yasuharu; Kudo, Shin-Ei; Ogata, Noriyuki; Kuroki, Takanori; Takashina, Yuki & Takishima, Kazumi [Show all 16 contributors for this article] (2023). USE OF ADVANCED ENDOSCOPIC TECHNOLOGY FOR OPTICAL CHARACTERIZATION OF NEOPLASIA IN PATIENTS WITH ULCERATIVE COLITIS: SYSTEMATIC REVIEW. Gastroenterological Endoscopy. ISSN 0387-1207. 65(9), p. 1464–1478. doi: 10.11280/gee.65.1464.
  • Hassan, Cesare; Mori, Yuichi & Sharma, Prateek (2023). The Pros and Cons of Artificial Intelligence in Endoscopy. American Journal of Gastroenterology. ISSN 0002-9270. 118(10), p. 1720–1722. doi: 10.14309/ajg.0000000000002287.
  • Hassan, Cesare; Spadaccini, Marco; Mori, Yuichi; Foroutan, Farid; Facciorusso, Antonio & Gkolfakis, Paraskevas [Show all 23 contributors for this article] (2023). Real-Time Computer-Aided Detection of Colorectal Neoplasia During Colonoscopy : A Systematic Review and Meta-analysis. Annals of Internal Medicine. ISSN 0003-4819. 176(9), p. 1209–1220. doi: 10.7326/M22-3678.
  • Bretthauer, Michael; Gerke, Sara; Hassan, Cesare; Ahmad, Omer F. & Mori, Yuichi (2023). The New European Medical Device Regulation: Balancing Innovation and Patient Safety. Annals of Internal Medicine. ISSN 0003-4819. 176(6), p. 844–848. doi: 10.7326/M23-0454. Full text in Research Archive
  • Spadaccini, Marco; Massimi, Davide; Mori, Yuichi; Alfarone, Ludovico; Fugazza, Alessandro & Maselli, Roberta [Show all 10 contributors for this article] (2023). Artificial Intelligence-Aided Endoscopy and Colorectal Cancer Screening. Diagnostics (Basel). ISSN 2075-4418. 13(6). doi: 10.3390/diagnostics13061102.
  • Takashina, Yuki; Kudo, Shin-ei; Kouyama, Yuta; Ichimasa, Katsuro; Miyachi, Hideyuki & Mori, Yuichi [Show all 17 contributors for this article] (2023). Whole slide image-based prediction of lymph node metastasis in T1 colorectal cancer using unsupervised artificial intelligence. Digestive Endoscopy. ISSN 0915-5635. doi: 10.1111/den.14547.
  • Jiang, Kai; Itoh, Hayato; Oda, Masahiro; Okumura, Taishi; Mori, Yuichi & Misawa, Masashi [Show all 9 contributors for this article] (2023). Gaussian affinity and GIoU-based loss for perforation detection and localization from colonoscopy videos. International Journal of Computer Assisted Radiology and Surgery. ISSN 1861-6410. 18(5), p. 795–805. doi: 10.1007/s11548-022-02821-x.
  • Spadaccini, Marco; Hassan, Cesare; Rondonotti, Emanuele; Antonelli, Giulio; Andrisani, Gianluca & Lollo, Gianluca [Show all 40 contributors for this article] (2023). Combination of Mucosa-Exposure Device and Computer-Aided Detection for Adenoma Detection During Colonoscopy: A Randomized Trial. Gastroenterology. ISSN 0016-5085. 165(1), p. 244–251. doi: 10.1053/j.gastro.2023.03.237.
  • Halvorsen, Natalie Grace Mosteiro & Mori, Yuichi (2023). Artificial intelligence and upper gastrointestinal endoscopy: what is the optimal study design? Minerva Surgery. ISSN 2724-5438. 78(1). doi: 10.23736/S2724-5691.22.09810-0.
  • Hassan, Cesare; Piovani, Daniele; Spadaccini, Marco; Parigi, Tommaso; Khalaf, Kareem & Facciorusso, Antonio [Show all 14 contributors for this article] (2023). Variability in adenoma detection rate in control groups of randomized colonoscopy trials: a systematic review and meta-analysis. Gastrointestinal Endoscopy. ISSN 0016-5107. 97(2), p. 212–225.e7. doi: 10.1016/j.gie.2022.10.009.
  • Barua, Ishita; Bretthauer, Michael & Mori, Yuichi (2022). Computer-aided quality assessment (CAQ): the next step for artificial intelligence in colonoscopy? Mini-invasive Surgery. 6. doi: 10.20517/2574-1225.2022.05.
  • Larsen, Solveig Linnea Veen & Mori, Yuichi (2022). Artificial intelligence in colonoscopy: A review on the current status. DEN Open. ISSN 2692-4609. doi: 10.1002/deo2.109.
  • Mori, Yuichi; Wang, Pu; Løberg, Magnus; Misawa, Masashi; Repici, Alessandro & Spadaccini, Marco [Show all 26 contributors for this article] (2022). Impact of Artificial Intelligence on Colonoscopy Surveillance After Polyp Removal: A Pooled Analysis of Randomized Trials. Clinical Gastroenterology and Hepatology. ISSN 1542-3565. doi: 10.1016/j.cgh.2022.08.022. Full text in Research Archive
  • Barua, Ishita; Misawa, Masashi; Glissen Brown, Jeremy R.; Walradt, Trent; Kudo, Shin-ei & Sheth, Sunil G. [Show all 19 contributors for this article] (2022). Speedometer for withdrawal time monitoring during colonoscopy: a clinical implementation trial. Scandinavian Journal of Gastroenterology. ISSN 0036-5521. doi: 10.1080/00365521.2022.2154616.
  • Messmann, Helmut; Bisschops, Raf; Antonelli, Giulio; Libânio, Diogo; Sinonquel, Pieter & Abdelrahim, Mohamed [Show all 33 contributors for this article] (2022). Expected value of artificial intelligence in gastrointestinal endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement. Endoscopy. ISSN 0013-726X. 54(12), p. 1211–1231. doi: 10.1055/a-1950-5694.
  • Mori, Yuichi (2022). Optimising endoscopy practice with artificial intelligence. Gastrointestinal nursing. ISSN 1479-5248. doi: 10.12968/gasn.2022.20.Sup8.S6.
  • Ichimasa, Katsuro; Nakahara, Kenta; Kudo, Shin-ei; Misawa, Masashi; Bretthauer, Michael & Shimada, Shoji [Show all 14 contributors for this article] (2022). Novel “resect and analysis” approach for T2 colorectal cancer with use of artificial intelligence. Gastrointestinal Endoscopy. ISSN 0016-5107. 96(4), p. 665–672.e1. doi: 10.1016/j.gie.2022.04.1305.
  • Pecere, Silvia; Antonelli, Giulio; Dinis-Ribeiro, Mario; Mori, Yuichi; Hassan, Cesare & Fuccio, Lorenzo [Show all 20 contributors for this article] (2022). Endoscopists performance in optical diagnosis of colorectal polyps in artificial intelligence studies. United European Gastroenterology Journal (UEG Journal). ISSN 2050-6406. 10(8), p. 817–826. doi: 10.1002/ueg2.12285.
  • Mori, Yuichi; Misawa, Masashi; Bernal, Jorge; Bretthauer, Michael; Kudo, Shin-ei & Rastogi, Amit [Show all 7 contributors for this article] (2022). Artificial intelligence for disease diagnosis: the criterion standard challenge. Gastrointestinal Endoscopy. ISSN 0016-5107. 96(2), p. 370–372. doi: 10.1016/j.gie.2022.04.057.
  • Ainechi, Diba; Misawa, Masashi; Barua, Ishita; Larsen, Solveig; Paulsen, Vemund & Garborg, Kjetil Kjeldstad [Show all 21 contributors for this article] (2022). Impact of artificial intelligence on colorectal polyp detection for early-career endoscopists: an international comparative study. Scandinavian Journal of Gastroenterology. ISSN 0036-5521. doi: 10.1080/00365521.2022.2070436. Full text in Research Archive
  • Areia, Miguel; Mori, Yuichi; Correale, Loredana; Repici, Alessandro; Bretthauer, Michael & Sharma, Prateek [Show all 18 contributors for this article] (2022). Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study. The Lancet Digital Health. ISSN 2589-7500. 4(6), p. e436–e444. doi: 10.1016/S2589-7500(22)00042-5. Full text in Research Archive
  • Itoh, Hayato; Misawa, Masashi; Mori, Yuichi; Kudo, Shin-Ei; Oda, Masahiro & Mori, Kensaku (2022). Positive-gradient-weighted object activation mapping: visual explanation of object detector towards precise colorectal-polyp localisation. International Journal of Computer Assisted Radiology and Surgery. ISSN 1861-6410. doi: 10.1007/s11548-022-02696-y.
  • Barua, Ishita; Wieszczy, Paulina; Kudo, Shin-ei; Masashi, Misawa; Holme, Øyvind & Gulati, Shraddha [Show all 34 contributors for this article] (2022). Real-Time Artificial Intelligence–Based Optical Diagnosis of Neoplastic Polyps during Colonoscopy. NEJM Evidence. ISSN 2766-5526. 1(6). doi: 10.1056/EVIDoa2200003.
  • Spadaccini, Marco; Hassan, Cesare; Alfarone, Ludovico; Da Rio, Leonardo; Maselli, Roberta & Carrara, Silvia [Show all 16 contributors for this article] (2022). Comparing the number and relevance of false activations between 2 artificial intelligence computer-aided detection systems: the NOISE study. Gastrointestinal Endoscopy. ISSN 0016-5107. 95(5), p. 975–981.e1. doi: 10.1016/j.gie.2021.12.031.
  • Messmann, Helmut; Ebigbo, Alanna; Hassan, Cesare; Repici, Alessandro & Mori, Yuichi (2022). How to Integrate Artificial Intelligence in Gastrointestinal Practice. Gastroenterology. ISSN 0016-5085. 162(6), p. 1583–1586. doi: 10.1053/j.gastro.2022.02.029.
  • Itoh, Hayato; Oda, Masahiro; Jiang, Kai; Mori, Yuichi; Misawa, Masashi & Kudo, Shin-Ei [Show all 10 contributors for this article] (2022). Uncertainty meets 3D-spatial feature in colonoscopic polyp-size determination. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization. ISSN 2168-1163. 10(3). doi: 10.1080/21681163.2021.2004445.
  • Ishiyama, Misaki; Kudo, Shin-ei; Misawa, Masashi; Mori, Yuichi; Maeda, Yasuhara & Ichimasa, Katsuro [Show all 14 contributors for this article] (2022). Impact of the clinical use of artificial intelligence–assisted neoplasia detection for colonoscopy: a large-scale prospective, propensity score–matched study (with video). Gastrointestinal Endoscopy. ISSN 0016-5107. 95(1), p. 155–163. doi: 10.1016/j.gie.2021.07.022.
  • Kudo, Shin-Ei; Ichimasa, Katsuro; Villard, Benjamin; Mori, Yuichi; Misawa, Masashi & Saito, Shoichi [Show all 29 contributors for this article] (2021). Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node. Gastroenterology. ISSN 0016-5085. 160(4), p. 1075–1084.e2. doi: 10.1053/j.gastro.2020.09.027.
  • Helsingen, Lise Mørkved; Løberg, Magnus; Refsum, Erle; Gjøstein, Dagrun Kyte; Wieszczy, Paulina & Olsvik, Ørjan [Show all 16 contributors for this article] (2021). Covid-19 transmission in fitness centers in Norway - a randomized trial. BMC Public Health. ISSN 1471-2458. 21, p. 1–9. doi: 10.1186/s12889-021-12073-0. Full text in Research Archive
  • Ichimasa, Katsuro; Kudo, Shin-Ei; Miyachi, Hideyuki; Kouyama, Yuta; Misawa, Masashi & Mori, Yuichi (2021). Risk stratification of T1 colorectal cancer metastasis to Lymph nodes: Current status and perspective. Gut and Liver. ISSN 1976-2283. 15(6), p. 818–826. doi: 10.5009/gnl20224.
  • Mori, Yuichi; Kudo, Shin-Ei; East, James; Rastogi, Amit; Bretthauer, Michael & Misawa, Masashi [Show all 14 contributors for this article] (2020). Cost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video). Gastrointestinal Endoscopy. ISSN 0016-5107. 92(4), p. 905–911. doi: 10.1016/j.gie.2020.03.3759.
  • Barua, Ishita; Mori, Yuichi & Bretthauer, Michael (2020). Colorectal polyp characterization with endocytoscopy: Ready for widespread implementation with artificial intelligence? Baillière's Best Practice & Research : Clinical Gastroenterology. ISSN 1521-6918. doi: 10.1016/j.bpg.2020.101721.

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  • Mori, Yuichi (2024). New horizons in polyp size estimation. Endoscopy. ISSN 0013-726X. doi: 10.1055/a-2224-0756.
  • Mori, Yuichi; East, James E.; Hassan, Cesare; Halvorsen, Natalie Grace Mosteiro; Berzin, Tyler M. & Byrne, Michael [Show all 25 contributors for this article] (2023). BENEFITS AND CHALLENGES IN IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN COLONOSCOPY: WORLD ENDOSCOPY ORGANIZATION POSITION STATEMENT. Gastroenterological Endoscopy. ISSN 0387-1207. 65(10), p. 2231–2241. doi: 10.11280/gee.65.2231.
  • Jiang, Kai; Itoh, Hayato; Oda, Masahiro; Okumura, Taishi; Mori, Yuichi & Misawa, Masashi [Show all 9 contributors for this article] (2023). Correction to: Gaussian affinity and GIoU-based loss for perforation detection and localization from colonoscopy videos (International Journal of Computer Assisted Radiology and Surgery, (2023), 18, 5, (795-805), 10.1007/s11548-022-02821-x). International Journal of Computer Assisted Radiology and Surgery. ISSN 1861-6410. 18(5). doi: 10.1007/s11548-023-02899-x.
  • Hassan, Cesare; Repici, Alessandro & Mori, Yuichi (2023). Cost of artificial intelligence: Elephant in the room and its cage. Digestive Endoscopy. ISSN 0915-5635. doi: 10.1111/den.14567.
  • Bretthauer, Michael; Mori, Yuichi; Zessner-Spitzenberg, Jasmin; Kamiński, Michał F.; Siersema, Peter D. & Ponchon, Thierry [Show all 10 contributors for this article] (2023). Gastrointestinal endoscopy devices and the European Union Medical Device Regulation: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement. Endoscopy. ISSN 0013-726X. 55(6), p. 578–581. doi: 10.1055/a-2052-2540.
  • Mori, Yuichi; East, James E.; Hassan, Cesare; Halvorsen, Natalie Grace Mosteiro; Berzin, Tyler M. & Byrne, Michael [Show all 25 contributors for this article] (2023). Benefits and challenges in implementation of artificial intelligence in colonoscopy: World Endoscopy Organization position statement. Digestive Endoscopy. ISSN 0915-5635. p. 1–8. doi: 10.1111/den.14531.
  • Mori, Yuichi; Kamiński, Michał Filip; Hassan, Cecare & Bretthauer, Michael (2022). Clinical trial designs for artificial intelligence in gastrointestinal endoscopy. The Lancet Gastroenterology and Hepatology. ISSN 2468-1253. doi: 10.1016/S2468-1253(22)00232-1.
  • Halvorsen, Natalie Grace Mosteiro & Mori, Yuichi (2022). Open access database for artificial intelligence research. Gastrointestinal Endoscopy. ISSN 0016-5107. 97(2), p. 200–201. doi: 10.1016/j.gie.2022.10.020.
  • Hassan, Cesare; Mori, Yuichi; Sharma, Prateek; Spadaccini, Marco & Repici, Alessandro (2022). Detrimental Detection of Advanced Lesions With AI: False Confidence or Prevalence Bias? American Journal of Gastroenterology. ISSN 0002-9270. 117(12), p. 2088–2089. doi: 10.14309/ajg.0000000000002023.
  • Ahuja, Amisha & Mori, Yuichi (2022). High-quality Studies of Artificial Intelligence in Colonoscopy Illuminate a Next Important Step. Gastroenterology. ISSN 0016-5085. 163(3), p. 582–583. doi: 10.1053/j.gastro.2022.06.074.
  • Frazzoni, Leonardo; Arribas, Julia; Antonelli, Giulio; Libanio, Diogo; Ebigbo, Alanna & Van Der Sommen, Fons [Show all 20 contributors for this article] (2022). Erratum: Endoscopists' diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studies (Endoscopy (2022) 54 (403-411) DOI: 10.1055/a-1500-3730). Endoscopy. ISSN 0013-726X. 54(4). doi: 10.1055/a-1907-9242.
  • Rex, Douglas K.; Berzin, Tyler M. & Mori, Yuichi (2022). Artificial Intelligence Improves Detection at Colonoscopy: Why Aren't We All Already Using It? Gastroenterology. ISSN 0016-5085. 163(1), p. 35–37. doi: 10.1053/j.gastro.2022.04.042.
  • Ichimasa, Katsuro; Kudo, Shin-ei; Koh, Calvin Jianyi; Yeoh, Khay Guan & Mori, Yuichi (2022). Endoscopic full-thickness resection for complex colorectal lesions–what’s the next step? Scandinavian Journal of Gastroenterology. ISSN 0036-5521. doi: 10.1080/00365521.2022.2089858.
  • Rex, Douglas K.; Mori, Yuichi; Sharma, Prateek; Lahr, Rachel E.; Vemulapalli, Krishna C. & Hassan, Cesare (2022). Strengths and Weaknesses of an Artificial Intelligence Polyp Detection Program as Assessed by a High-Detecting Endoscopist. Gastroenterology. ISSN 0016-5085. 163(2), p. 354–358.e1. doi: 10.1053/j.gastro.2022.03.055.
  • Hassan, Cesare; Mori, Yuichi & Repici, Alessandro (2022). Commentary. Endoscopy. ISSN 0013-726X. 54(5). doi: 10.1055/a-1736-8097.
  • Saito, Yutaka; Yamada, Masayoshi & Mori, Yuichi (2022). Although depth prediction of colorectal cancer with artificial intelligence is clinically relevant, standardization of histopathologic diagnosis should also be taken care of. Gastrointestinal Endoscopy. ISSN 0016-5107. 95(6), p. 1195–1197. doi: 10.1016/j.gie.2022.02.008.
  • Mori, Yuichi; Misawa, Masashi & Kudo, Shin-ei (2022). Challenges in artificial intelligence for polyp detection. Digestive Endoscopy. ISSN 0915-5635. doi: 10.1111/den.14279.

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Published Apr. 21, 2020 9:13 AM - Last modified Dec. 10, 2023 12:08 PM