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

被引:7
|
作者
Pang, Jiyun [1 ,2 ,3 ]
Xiu, Weigang [1 ,2 ,3 ]
Ma, Xuelei [4 ]
机构
[1] Sichuan Univ, West China Hosp, Canc Ctr, Div Thorac Tumor Multimodal Treatment, Chengdu 610041, Peoples R China
[2] Sichuan Univ, West China Hosp, Canc Ctr, State Key Lab Biotherapy, Chengdu 610041, Peoples R China
[3] Sichuan Univ, West China Sch Med, Chengdu 610041, Peoples R China
[4] Sichuan Univ, West China Hosp, Canc Ctr, Dept Biotherapy, Chengdu 610041, Peoples R China
关键词
artificial intelligence; mediastinal malignancy; deep learning; artificial neural network; NEURAL-NETWORKS; HIGH-RISK; CANCER; CLASSIFICATION; OUTCOMES; THERAPY; HISTOPATHOLOGY; THYMECTOMY; PREDICTION; SURGERY;
D O I
10.3390/jcm12082818
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
下载
收藏
页数:14
相关论文
共 50 条
  • [1] Application of artificial intelligence in the diagnosis and treatment of urinary tumors
    Zhu, Mengying
    Gu, Zhichao
    Chen, Fang
    Chen, Xi
    Wang, Yue
    Zhao, Guohua
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [2] DIAGNOSIS AND TREATMENT OF MEDIASTINAL TUMORS
    MAIER, HC
    SURGICAL CLINICS OF NORTH AMERICA, 1953, 33 (02) : 415 - 432
  • [3] Mediastinal tumors: Diagnosis and treatment
    Wright, CD
    Mathisen, DJ
    WORLD JOURNAL OF SURGERY, 2001, 25 (02) : 204 - 209
  • [4] Mediastinal tumors: Diagnosis and treatment
    Wright C.D.
    Mathisen D.J.
    World Journal of Surgery, 2001, 25 (2) : 204 - 209
  • [5] Application of artificial intelligence in the diagnosis and prognostic prediction of ovarian cancer
    Zhou, Jingyang
    Cao, Weiwei
    Wang, Lan
    Pan, Zezheng
    Fu, Ying
    COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 146
  • [6] Application of Artificial Intelligence for the Diagnosis and Treatment of Liver Diseases
    Ahn, Joseph C.
    Connell, Alistair
    Simonetto, Douglas A.
    Hughes, Cian
    Shah, Vijay H.
    HEPATOLOGY, 2021, 73 (06) : 2546 - 2563
  • [7] Application of artificial intelligence in the diagnosis and treatment of cardiac arrhythmia
    Guo, Rong-Xin
    Tian, Xu
    Bazoukis, George
    Tse, Gary
    Hong, Shenda
    Chen, Kang-Yin
    Liu, Tong
    PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY, 2024, 47 (06): : 789 - 801
  • [8] The Application of Artificial Intelligence in the Recognition, Diagnosis, and Treatment of Autism
    Wang, Jiaojiao
    Hu, Maorong
    PROCEEDINGS OF 2023 4TH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE FOR MEDICINE SCIENCE, ISAIMS 2023, 2023, : 882 - 886
  • [9] Surgical treatment confers prognostic significance in pediatric malignant mediastinal germ cell tumors
    Huang, Ting-Huan
    Hung, Giun-Yi
    Weng, Te-Fu
    Wang, Fu-Mien
    Lee, Chih-Ying
    Lin, Dong-Tsamn
    Chen, Bow-Wen
    Lin, Kai-Hsin
    Wu, Kang-Hsi
    Liu, Hsi-Che
    Chen, Jiann-Shiuh
    Jou, Shiann-Tarng
    Hou, Jen-Yin
    Yang, Yung-Li
    Chen, Shih-Hsiang
    Chang, Hsiu-Hao
    Chiou, Shyh-Shin
    Lin, Pei-Chin
    Chen, Rong-Long
    Hsiao, Chih-Cheng
    Yen, Hsiu-Ju
    Yang, Chao-Ping
    Chang, Te-Kau
    Lu, Meng-Yao
    Cheng, Chao-Neng
    Sheen, Jiunn-Ming
    Liao, Yu-Mei
    Su, Min-Yu
    Yeh, Ting-Chi
    CANCER, 2022, 128 (23) : 4139 - 4149
  • [10] Progress of Artificial Intelligence in Gynecological Malignant Tumors
    Zhou, Jie
    Zeng, Zhi Ying
    Li, Li
    CANCER MANAGEMENT AND RESEARCH, 2020, 12 : 12823 - 12840