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人工智能在胰腺癌全程化管理中的应用及展望

Application and prospect of artificial intelligence in the whole-process management of pancreatic cancer
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摘要 胰腺癌恶性程度高、生存率低,早期诊断、早期治疗及早期复发干预是改善其总体预后的关键。随着人工智能的飞速发展,将其运用于胰腺癌的全程化管理、实现胰腺癌的精准医疗是大势所趋。人工智能通过与临床数据、医学图像以及分子生物学结合,在胰腺癌的全程化管理中展现出广阔的应用前景。笔者就人工智能在胰腺癌诊断与治疗中的应用现状和问题进行简要综述,并讨论其未来的发展方向。 Pancreatic cancer is a highly malignant cancer with low survival rate.Early diagnosis,early treatment and early recurrence intervention are the most important keys to improve overall prognosis of pancreatic cancer.With the rapid development of artificial intelligence,it is an inevitable trend to apply it to the diagnosis and treatment of pancreatic cancer to achieve precision medicine for patients.By combining with clinical data,medical images and molecular biology,artifi-cial intelligence has shown broad application prospects in the whole-process management of pancreatic cancer.The authors briefly review the application status and problems of artificial intelligence in the diagnosis and treatment of pancreatic cancer,and discuss its future development direction.
作者 梁谭 陈子祥 陈江明 耿小平 刘付宝 Liang Tan;Chen Zixiang;Chen Jiangming;Geng Xiaoping;Liu Fubao(Department of General Surgery,The First Affiliated Hospital of Anhui Medical University,Hefei230022,China)
出处 《中华消化外科杂志》 CAS CSCD 北大核心 2024年第11期1459-1464,共6页 Chinese Journal of Digestive Surgery
基金 安徽省卫生健康科研项目重点课题(AHWJ2023A10028)。
关键词 胰腺肿瘤 人工智能 机器学习 深度学习 医学图像 早期诊断 手术 预后 Pancreatic neoplasms Artificial intelligence Machine learning Deep lear-ning Medical image Early diagnosis Surgery Prognosis
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