[1]李雅雯,朱珠,王金湖,等.人工智能在神经母细胞瘤辅助诊疗中的应用研究进展[J].临床小儿外科杂志,2025,(04):392-395.[doi:10.3760/cma.j.cn101785-202307027-018]
　Li Yawen,Zhu Zhu,Wang Jinhu,et al.Research advances of artificial intelligence in the diagnosis and treatment of neuroblastoma[J].Journal of Clinical Pediatric Surgery,2025,(04):392-395.[doi:10.3760/cma.j.cn101785-202307027-018]
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人工智能在神经母细胞瘤辅助诊疗中的应用研究进展

《临床小儿外科杂志》[ISSN:1671-6353/CN:43-1380/R] 卷: 期数: 2025年04 页码: 392-395 栏目: 综述 出版日期: 2025-04-28
Title:
Research advances of artificial intelligence in the diagnosis and treatment of neuroblastoma
作者:
李雅雯1;  朱珠2;  王金湖1;  龚方戚3
1. 浙江大学医学院附属儿童医院肿瘤外科, 杭州 310052;
2. 浙江大学医学院附属儿童医院信息中心, 杭州 310052;
3. 浙江大学医学院附属儿童医院心内科, 杭州 310052
Author(s):
Li Yawen1;  Zhu Zhu2;  Wang Jinhu1;  Gong Fangqi3
1. Department of Surgical Oncology, Affiliated Children’s Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China;
2. Information Center, Affiliated Children’s Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China;
3. Department of Cardiology, Affiliated Children’s Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China
关键词:
神经母细胞瘤; 诊断; 治疗; 人工智能; 机器学习; 深度学习
Keywords:
Neuroblastoma; Diagnosis; Therapy; Artificial Intelligence; Machine Learning; Deep Learning
DOI:
10.3760/cma.j.cn101785-202307027-018
摘要:
神经母细胞瘤作为儿童期最常见的颅外实体肿瘤,恶性程度高,总体生存率低,临床预后差。近年来,随着计算机运算能力的增强,人工智能在疾病诊断、影像医学等领域取得了重大突破和进展。本文围绕人工智能在神经母细胞瘤早期诊断、分类分型、预后预测等辅助诊断方面的研究及应用进行综述,并结合实际情况分析目前人工智能在临床应用所面临的挑战和困境,展望其未来发展方向。
Abstract:
As the most common extracranial solid tumor in children,neuroblastoma is a malignant tumor with a low overall survival rate and a poor clinical prognosis.With rapid advancements of computer technology,artificial intelligence (AI) has made significant breakthroughs in the fields of disease diagnosis and imaging medicine.This review summarized the applications and researches of AI in neuroblastoma,such as early diagnosis,classification,staging and prognostic prediction.It also discussed the current challenges and future prospects of AI applications in clinical practices.

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备注/Memo

收稿日期:2023-7-17。
基金项目:国家自然科学基金区域联合基金重点项目(U20A20137)
通讯作者:龚方戚,Email:gongfangqi@zju.edu.cn

更新日期/Last Update: 2025-04-28