業績（2025年度）

論文

1. Kitaguchi D, Kosugi N, Ishikawa Y, Narihiro S, Enomoto T, Oda T, Takeshita N, Ito M. A multicentre randomized controlled trial exploring the clinical usefulness of the intraoperative use of an artificial intelligence-based anatomical navigation system Br J Surg.?2025 May 31;112(6):znaf121.?doi: 10.1093/bjs/znaf121.
2. Hasegawa H, Takeshita N, Kitaguchi D, Ikeda K, Nishizawa Y, Tsukada Y, Ito M. First-in-human robot-assisted laparoscopic sigmoid resection using ANSUR surgical unitR. Tech Coloproctol. 2025 Jul 18;29(1):142. doi: 10.1007/s10151-025-03183-7.
3. Yanagida Y, Takenaka S, Kitaguchi D, Hamano S, Tanaka A, Mitarai H, Suzuki R, Sasaki K, Takeshita N, Ishimaru T, Fujishiro J, Ito M. Surgical skill assessment using an AI-based surgical phase recognition model for laparoscopic cholecystectomy. Surg Endosc. 2025 Aug;39(8):5018-5026. doi: 10.1007/s00464-025-11903-1. Epub 2025 Jul 3.
4. Zhao X, Takenaka S, Iuchi S, Kitaguchi D, Wakabayashi M, Sato K, Arakaki S, Sasaki K, Kosugi N, Takeshita N, Takeshita N, Sakamoto S, Ichikawa T, Ito M. Automatic recognition of surgical phase of robot-assisted radical prostatectomy based on artificial intelligence deep-learning model and its application in surgical skill evaluation: a joint study of 18 medical education centers. Surg Endosc. 2025 Sep;39(9):5623-5635. doi: 10.1007/s00464-025-11967-z. Epub 2025 Jul 10.
5. Nakajima K, Takenaka S, Kitaguchi D, Tanaka A, Ryu K, Takeshita N, Kinugasa Y, Ito M. Developing a deep learning-based surgical-skill assessment model focused on instrument handling in laparoscopic colorectal surgery. Eur J Surg Oncol. 2025 Sep;51(9):110260. doi: 10.1016/j.ejso.2025.110260. Epub 2025 Jun 17.
6. Obuchi K, Takenaka S, Kitaguchi D, Nakajima K, Ishikawa Y, Mitarai H, Ryu K, Takeshita N, Taketomi A, Ito M. Automatic surgical skill assessment using a task classification model in laparoscopic sigmoidectomy. Surg Endosc. 2025 Oct;39(10):6423-6429. doi: 10.1007/s00464-025-12036-1. Epub 2025 Aug 8.10.
7. Fuse M, Kitaguchi D, Kosugi N, Ishikawa Y, Hasegawa H, Takeshita N, Kinugasa Y, Ito M. Deep learning-based gastrocolic trunk recognition in laparoscopic right hemicolectomy. Surg Endosc. 2025 Oct;39(10):7044-7051. doi: 10.1007/s00464-025-12079-4. Epub 2025 Sep 2.
8. Sasaki S, Kitaguchi D, Noda T, Matsuzaki H, Hasegawa H, Takeshita N, Ito M. Deep learning-based vessel and nerve recognition model for lateral lymph node dissection: a retrospective feasibility study. Langenbecks Arch Surg. 2025 Oct 27;410(1):310. doi: 10.1007/s00423-025-03882-7.
9. Takamatsu T, Hayashi S, Okamoto N, Arakaki S, Hernandez AG, Takeshita N, Hasegawa H, Yokota H, Soga K, Callico GM, Takemura H. Laparoscopic near-infrared hyperspectral imaging system for identifying living porcine nerves and unexposed arteries. Biomed Opt Express. 2025 Oct 31;16(11):4840-4850. doi: 10.1364/BOE.576004. eCollection 2025 Nov 1.
10. Suzuki Y, Kitaguchi D, Kosugi N, Hasegawa H, Takeshita N, Kinugasa Y, Ito M. Artificial Intelligence-Guided Total Mesorectal Excision: Development of a Deep Learning Model to Identify the Pelvic Fascial Plane Anatomy. Ann Gastroenterol Surg. 2025 Jul 9;9(6):1225-1232. doi: 10.1002/ags3.70064. eCollection 2025 Nov.
11. Ri M, Nunobe S, Narita T, Seto Y, Kawazoe Y, Ohe K, Azuma L, Takeshita N. Time-sequential prediction of postoperative complications after gastric cancer surgery using machine learning: a multicenter cohort study. Gastric Cancer. 2025 Nov;28(6):1273-1281. doi: 10.1007/s10120-025-01658-y. Epub 2025 Sep 9.
12. Kitaguchi D, Fuse N, Wakabayashi M, Kosugi N, Ishikawa Y, Hayashi K, Hasegawa H, Takeshita N, Ito M Exploring the Impact of an Artificial Intelligence-Based Intraoperative Image Navigation System in Laparoscopic Surgery on Clinical Outcomes: A Protocol for a Multicenter Randomized Controlled Trial. Eur Surg Res. 2026;67(1):38-45. doi: 10.1159/000549894. Epub 2025 Dec 26.
13. Takenaka S, Matsuzaki H, Hirose Y, Nakabayashi M, Koike R, Harada Y, Kitaguchi D, Koike Y, Onishi J, Odajima S, Homma M, Takeshita N, Matsumoto K, Tanabe H. Semantic segmentation deep learning model boosts surgeons' organ recognition in minimally invasive hysterectomy - a prospective multi-center reader performance study using pre-selected video clips. Int J Surg. 2026 Jan 20. doi: 10.1097/JS9.0000000000004606. Online ahead of print.
14. Iwai S, Takenaka S, Kitaguchi D, Matsuzaki H, Nakajima K, Takabe Y, Takeshita N, Ito M. Construction of a Feedback Comment Analysis Model for Evaluation of Endoscopic Surgical Skill. Ann Gastroenterol Surg. 2025 Oct 9;10(2):502-509. doi: 10.1002/ags3.70101. eCollection 2026 Mar.
15. 佐々木 公將, 竹下 修由, 竹中 慎, 伊藤 雅昭.【AIと歩む,消化器外科の近未来】AIによる手術の工程認識と自動技能評価　消化器外科(0387-2645)48巻5号 Page481-489(2025.05)
16. 伊藤 雅昭, 竹下 修由, 冨岡 譲, 長谷川 寛.【医療機器開発と医工連携】日本の医療機器開発の現状と外科医が取り組む医療機器開発の魅力(解説) .日本外科学会雑誌(0301-4894)126巻5号 Page443-449(2025.09)
17. 岡本 成亮, 竹下 修由, 佐々木 公將, 竹中 慎, 伊藤 雅昭. 内視鏡外科手術におけるAIの利活用. Precision medicine = プレシジョンメディシン. 編集委員会 編 8 (12), 966-969, 2025-11