Artificial Intelligence-based Liver Volume Measurement using Preoperative and Postoperative CT Images
The developed artificial intelligence model successfully and accurately measured liver volumes across three critical post-hepatectomy time points. These findings support the use of this automated technology as a precise and reliable tool to assist in surgical decision-making and postoperative assessment, providing a strong foundation for enhancing patient care.
Authors
- Yeon Ho Park (ORCID: https://orcid.org/0000-0003-1623-2167)
- Chang Hyun Lee
- Jaehun Yang (ORCID: https://orcid.org/0000-0002-6256-3103)
- Kwang Gi Kim (ORCID: https://orcid.org/0000-0001-9714-6038)
- Jong Chan Yeom (ORCID: https://orcid.org/0009-0003-6275-094X)
- Young Jae Kim (ORCID: https://orcid.org/0000-0003-0443-0051)
- Doojin Kim (ORCID: https://orcid.org/0000-0002-2382-6724)
Institutions
- Gachon University (KR)
- Gachon University Gil Medical Center (KR)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2025-09-04
- DOI
- https://doi.org/10.2174/0115734056394257250818060804
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00