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
The impact of AI-based surgical applications on clinical outcomes beyond numerical expression will be explored from diverse viewpoints while evaluating quantitative items, including intraoperative complications and operation time, as secondary endpoints. The findings of this RCT can contribute to advancing research in the domain of AI in surgery.
Authors
- Nozomu Fuse (ORCID: https://orcid.org/0000-0002-7123-0167)
- Nobuyoshi TAKESHITA
- Kazuyuki Hayashi (ORCID: https://orcid.org/0000-0001-9299-680X)
- Hiro Hasegawa (ORCID: https://orcid.org/0000-0002-2143-6503)
- Norihito Kosugi (ORCID: https://orcid.org/0000-0002-3495-3059)
- Yuto Ishikawa
- Daichi Kitaguchi
- Masaaki Ito
- Masashi Wakabayashi
Institutions
- National Cancer Center Hospital East (JP)
Publication Details
- Journal
- European Surgical Research
- Published
- 2025-12-26
- DOI
- https://doi.org/10.1159/000549894
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Cancer Center Japan