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人工智能在纵隔恶性肿瘤诊断、治疗及预后评估中的应用

Application of Artificial Intelligence in the Diagnosis, Treatment, and Prognostic Evaluation of Mediastinal Malignant Tumors.

作者信息

Pang Jiyun, Xiu Weigang, Ma Xuelei

机构信息

Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China.

State Key Laboratory of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China.

出版信息

J Clin Med. 2023 Apr 11;12(8):2818. doi: 10.3390/jcm12082818.

DOI:10.3390/jcm12082818
PMID:37109155
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10144939/
Abstract

Artificial intelligence (AI), also known as machine intelligence, is widely utilized in the medical field, promoting medical advances. Malignant tumors are the critical focus of medical research and improvement of clinical diagnosis and treatment. Mediastinal malignancy is an important tumor that attracts increasing attention today due to the difficulties in treatment. Combined with artificial intelligence, challenges from drug discovery to survival improvement are constantly being overcome. This article reviews the progress of the use of AI in the diagnosis, treatment, and prognostic prospects of mediastinal malignant tumors based on current literature findings.

摘要

人工智能(AI),也被称为机器智能,在医学领域得到广泛应用,推动了医学进步。恶性肿瘤是医学研究以及临床诊断和治疗改进的关键重点。纵隔恶性肿瘤是一种重要的肿瘤,由于治疗困难,如今受到越来越多的关注。结合人工智能,从药物研发到提高生存率等方面的挑战正不断被克服。本文基于当前文献研究结果,综述了人工智能在纵隔恶性肿瘤诊断、治疗及预后前景方面的应用进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/edbd/10144939/c103ac316d87/jcm-12-02818-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/edbd/10144939/ae259e7e65ef/jcm-12-02818-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/edbd/10144939/c103ac316d87/jcm-12-02818-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/edbd/10144939/ae259e7e65ef/jcm-12-02818-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/edbd/10144939/c103ac316d87/jcm-12-02818-g002.jpg

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