| Autor: |
Yun Lu, Shuai Li, Yuan Gao, Yong Dai, Bo Feng, Fanghai Han, Jiagang Han, Jingjing He, Xinxiang Li, Guole Lin, Qian Liu, Guiying Wang, Quan Wang, Zhenning Wang, Zheng Wang, Aiwen Wu, Bin Wu, Yingchi Yang, Hongwei Yao, Wei Zhang, Jianping Zhou, Aimin Hao, Zhongtao Zhang |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Intelligent Medicine, Vol 1, Iss 1, Pp 37-42 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2667-1026 |
| DOI: |
10.1016/j.imed.2021.03.002 |
| Popis: |
The incidence and mortality of colon cancer in China are increasing each year. At present, treatment selection for colon cancer patients mainly depends on imaging results, which require a large number of radiologists to interpret. In China, there is a shortage and uneven distribution of experienced radiologists, which leads to delays and bias in the evaluation of imaging data. Based on these considerations, the Colorectal Surgery Group of the Surgery Branch of the Chinese Medical Association in collaboration with experts at Beihang University has independently developed an artificial intelligence (AI)-based recognition system for the preoperative determination of colon cancer stage to partially replace the work of and relieve the pressure on radiologists. These guidelines aim to standardize the use of AI-based recognition systems in the preoperative staging of colon cancer and guide their clinical application. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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