| 标题： | 基于人工智能平台结肠癌分期识别系统应用专家共识（2021版） |
| title： | Expert consensus on the application of colon cancer staging recognition system based on artificial intelligence platform (2021 edition) |
| 版本： | 原创版 |
| version： | Original |
| 分类： | 专家共识 |
| classification： | Experts consensus |
| 领域： | 综合 |
| field： | Comprehensive guideline |
| 国家和地区： | 中国 |
| Country and region： | China |
| 指南使用者： | 结直肠外科医师和人工智能领域人员等 |
| Guide users： | Colorectal surgeons and people in the field of artificial intelligence |
| 证据分级方法： | Grade A recommendation: Good scientific evidence suggests that the benefits of this medical practice substantially outweigh the potential risks. The clinician should discuss the medical practice with the applicable patient; Grade B recommendation: at least moderate evidence suggests that the benefits of the medical practice outweigh the potential risks. The clinician should discuss the medical behavior with the appropriate patient; Grade C recommendation: At least reasonable scientific evidence suggests that the medical practice provides benefits, but the benefits are too close to the risks to make a general recommendation. The clinician is not required to provide this medical practice unless there are some individual considerations; Grade D recommendation: at least reasonable scientific evidence suggests that the potential risks of the medical practice outweigh the potential benefits; Clinicians should not routinely perform this medical practice on asymptomatic patients; Level I recommendation: The medical practice lacks scientific evidence, or the evidence is of poor quality, or is conflicting, such as risks and benefits that cannot be measured and assessed. The clinician should help the patient understand the uncertainty of the medical practice. |
| Evidence grading method： | |
| 制定单位： | 中华医学会外科学分会结直肠外科学组;北京航空航天大学虚拟现实技术与系统国家重点实验室 |
| Formulating unit： | Colorectal Surgery Group of the Surgery Branch in the Chinese Medical Association; Beihang University State Key Laboratory of Virtual Reality Technology and Systems |
| 注册时间： | 2020-11-16 |
| Registration time： | |
| 注册编号： | IPGRP-2020CN180 |
| Registration number： | |
| 指南制订的目的： | 目前结肠癌分期的术前评估主要依赖影像学检查，而影像阅片结果将直接决定结肠癌患者治疗方案的选择。为了缓解影像科医生的阅片压力，同时进一步提高影像学诊断的效率和准确性，中华医学会外科学分会结直肠外科学组联合北京航空航天大学提出利用人工智能自动识别系统辅助结肠癌分期的影像学评估，从而实现影像阅片的自动化和智能化。本共识旨在规范人工智能自动识别系统的建立、深度学习和验证过程，以及指导其在结肠癌分期和诊疗中的应用。 |
| Purpose of the guideline： | At present, preoperative assessment of colon cancer stage mainly relies on imaging examination, and the results of imaging reading will directly determine the treatment of colon cancer patients. In order to alleviate the reading pressure of the radiologist, at the same time, further improve the efficiency and accuracy of imaging diagnosis, Colorectal Surgery Group of the Surgery Branch in the Chinese Medical Association joint Beihang University is proposed using artificial intelligence automatic identification system of auxiliary colon cancer staging imaging evaluation, so as to realize the automation and intelligence of image reading. The purpose of this consensus is to standardize the establishment, deep learning and verification process of artificial intelligence automatic identification system and guide its application in the staging, diagnosis and treatment of colon cancer. |
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