Application Status and Research Advances of Artificial Intelligence in Pancreatobiliary Endoscopy
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摘要: 传统胰胆内镜手术因捕获图像信息耗时长、效率低以及医师水平存在差异而在临床应用中受到限制,而人工智能为胰胆内镜手术提供了高效、准确的图像自动识别方法,可辅助临床医师实现快速精准的预测并指导临床决策。同时,人工智能在内镜质量控制、教学培训等方面亦有较大发展潜力。本文就人工智能在胰胆内镜手术中的应用现状及研究进展进行综述,以期为改进目前的临床诊疗模式、实现胰胆疾病的精准医疗提供新思路。
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关键词:
- 人工智能 /
- 经内镜逆行胰胆管造影术 /
- 超声内镜 /
- 胆道镜 /
- 精准医疗
Abstract: Traditional pancreatobiliary endoscopy surgery is limited by the fact that capturing image information is time-consuming, inefficient, and susceptible to the level of the practitioner. Artificial intelligence, however, provides an efficient and accurate method of automatic image recognition for pancreaticobiliary endoscopic surgery, thus assisting clinicians to achieve rapid and accurate clinical predictions and guiding clinical decision-making. Moreover, artificial intelligence has great potential for applications in many aspects such as quality control and training of procedure. This paper provides an overview of the current status and research progress in the application of artificial intelligence in pancreatic and biliary endoscopic techniques, with the hope of offering new ideas and methods for improving the current clinical diagnosis and treatment pattern and realizing precision medicine for pancreatobiliary diseases.-
Key words:
- artificial intelligence /
- ERCP /
- EUS /
- choledochoscope /
- precision medicine
作者贡献:赖莘秀负责文献查阅与论文撰写;王祥负责论文指导与论文修订。利益冲突:所有作者均声明不存在利益冲突 -
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