Development of an AI-driven digital assistance system for real-time safety evaluation and quality control in laparoscopic liver surgery
The optimized ISA provides a highly accurate real-time interpretation of surgical phases and a strong potential to standardize surgical procedures, thus guaranteeing the outcomes and safety of laparoscopic hemi-hepatectomy.
Authors
- Zi‐Yang Peng
- Rongqian Wu (ORCID: https://orcid.org/0000-0003-0993-4531)
- Yu Guan
- Yifan Ma (ORCID: https://orcid.org/0000-0002-9371-4365)
- Jin-Rui Duan
- Junxi Xiang (ORCID: https://orcid.org/0000-0002-7772-3261)
- Yu Li (ORCID: https://orcid.org/0000-0002-3636-4872)
- Gang Wang (ORCID: https://orcid.org/0009-0009-8864-7688)
- Yan Yan (ORCID: https://orcid.org/0000-0002-3449-0349)
- Xuemin Liu (ORCID: https://orcid.org/0000-0002-4489-9439)
- Xiaowen Li (ORCID: https://orcid.org/0000-0003-0894-9846)
- Zhibo Wang (ORCID: https://orcid.org/0009-0000-1152-6591)
- Kun Guo
- Yi Lyu
- Yutong Li (ORCID: https://orcid.org/0009-0003-3015-8351)
- Yaoxing Ren
- Hai-Chyi Peng
Institutions
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
- Second Affiliated Hospital of Xi'an Jiaotong University (CN)
- Hanzhong People's Hospital (CN)
- Hanzhong Central Hospital (CN)
- Baoji City Central Hospital (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-10-08
- DOI
- https://doi.org/10.3389/fonc.2025.1678525
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 0.00