人工智能在胰腺癌诊治中的应用现状
DOI: 10.12449/JCH241032
利益冲突声明:本文不存在任何利益冲突。
作者贡献声明:马昱负责设计论文框架,起草论文;贾峰负责关键点分析,论文修改;马昱、刘楷宇负责文献查找;刘亚辉负责拟定写作思路,指导撰写文章并最后定稿。
Current status of the application of artificial intelligence in the diagnosis and treatment of pancreatic cancer
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摘要: 胰腺癌是消化系统常见的恶性肿瘤,早期诊断率低,手术病死率高,治愈率低,总体预后差。近年来,随着人工智能在医学领域的不断发展,机器学习、深度学习等人工智能技术被广泛应用于医学研究中。本文综述了近年来人工智能技术在胰腺癌筛查、诊断、治疗、并发症及预后预测等方面的应用,为人工智能在胰腺癌诊治中的应用提供依据和新思路。Abstract: Pancreatic cancer is a common malignant tumor of the digestive system, with a low early diagnosis rate, a high surgical mortality rate, a low cure rate, and a poor overall prognosis. In recent years, with the continuous development of artificial intelligence in the medical field, artificial intelligence techniques, such as machine learning and deep learning, have been widely used in medical research. This article reviews the application of artificial intelligence techniques in the screening, diagnosis, treatment, complications, and prognosis prediction of pancreatic cancer, so as to provide a basis and new ideas for the application of artificial intelligence in the diagnosis and treatment of pancreatic cancer.
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Key words:
- Artificial Intelligence /
- Pancreatic Neoplasms /
- Machine Learning /
- Deep Learning
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