A foundation model for acute abdomen diagnosis stratification and triage on noncontrast computed tomography
Chao Zhu, Ruipeng Zhang, Xinyu Song, Kai Shang, Yu Lu, Wenjuan Wu, Jian Ma, Yixiao Tang, Zhongzheng Cao, Li Shen, Jianyong Wei, Lisong Dai, Ping Wang, Dan Wang, Xiaoer Wei, Qing Lu, Lei Zhang, Tianle Wang, Yuehua Li · 2026
Read A foundation model for acute abdomen diagnosis stratification and triage on noncontrast computed tomography by Chao Zhu, Ruipeng Zhang, Xinyu Song, Kai Shang, Yu Lu, Wenjuan Wu, Jian Ma, Yixiao Tang, Zhongzheng Cao, Li Shen, Jianyong Wei, Lisong Dai, Ping Wang, Dan Wang, Xiaoer Wei, Qing Lu, Lei Zhang, Tianle Wang, Yuehua Li (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13558759.txt.
Description
Accurate and timely diagnosis of acute abdominal emergencies remains challenging. Non-contrast computed tomography (NCCT) is often used as an initial imaging modality because of atypical presentations, contraindications to contrast, or resource constraints. Here we present AbdomenNet, a multi-task AI system built on a self-supervised foundation model that detects 11 acute abdominal conditions and performs three risk-stratification subtasks from NCCT images.
Catalog record
| CREATOR | Chao Zhu, Ruipeng Zhang, Xinyu Song, Kai Shang, Yu Lu, Wenjuan Wu, Jian Ma, Yixiao Tang, Zhongzheng Cao, Li Shen, Jianyong Wei, Lisong Dai, Ping Wang, Dan Wang, Xiaoer Wei, Qing Lu, Lei Zhang, Tianle Wang, Yuehua Li |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 75 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |