Artificial intelligence-powered copilots for precision diagnosis and surgical assessment of histological growth patterns in resectable colorectal liver metastases: a prospective study

This study developed an AI model for HGP classification in colorectal cancer liver metastasis, achieving high accuracy in both binary classification and four-class classification models. The model demonstrated potential for improving diagnostic precision and guiding post-surgery treatment strategies, with AI-assisted pathologists surpassing traditional methods in a prospective cohort.

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Publication Details

Journal
International Journal of Surgery
Published
2025-07-04
DOI
https://doi.org/10.1097/js9.0000000000002922
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72
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article

Artificial intelligence-powered copilots for precision diagnosis and surgical assessment of histological growth patterns in resectable colorectal liver metastases: a prospective study

Ruichong Lin, Xiaoxi Zhang, Zaopeng He, Mengyang Sun et al.
2 citations
International Journal of Surgery
Radiomics and Machine Learning in Medical Imaging
2.72
article

Artificial intelligence-powered copilots for precision diagnosis and surgical assessment of histological growth patterns in resectable colorectal liver metastases: a prospective study

Ruichong Lin, Xiaoxi Zhang, Zaopeng He, Mengyang Sun, Yunfang Yu, Zuxiao Chen, Yanchun Li, Zheyu Zheng, Weidong Pan, Lui Ng, Yongjian Chen, Dawei Zhang, Zehua Wang, Chao Wang, Nannan Li, Lin Wang, Lei Zhang, Yufei Wu, Yao Tan, Zongyan Li, Qiyun Ou, Xiaoming Huang, Sun U. Song
article en
2 citations

Abstract

This study developed an AI model for HGP classification in colorectal cancer liver metastasis, achieving high accuracy in both binary classification and four-class classification models. The model demonstrated potential for improving diagnostic precision and guiding post-surgery treatment strategies, with AI-assisted pathologists surpassing traditional methods in a prospective cohort.

International Journal of SurgeryVol. 111(11)
Macau University of Science and Technology (MO), Hong Kong Baptist University (HK), Sun Yat-sen University (CN), Chinese University of Hong Kong (HK), University of Macau (MO), Karolinska Institutet (SE), Guangzhou University (CN), Sixth Affiliated Hospital of Sun Yat-sen University (CN), Sun Yat-sen Memorial Hospital (CN), The First People's Hospital of Shunde (CN), Foshan Hospital of TCM (CN), Guangzhou Electronic Technology (China) (CN), First Affiliated Hospital of Jinan University (CN), University of Hong Kong (HK)
Good health and well-being
Openalex Percentile: Top 10%
Radiomics and Machine Learning in Medical Imaging
2.72
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