Application of artificial intelligence radiomics in the diagnosis, treatment, and prognosis of hepatocellular carcinoma

被引：1
|
作者：
Bo Z. [1 ]
Song J. [1 ]
He Q. [1 ]
Chen B. [1 ]
Chen Z. [1 ]
Xie X. [1 ]
Shu D. [1 ]
Chen K. [1 ]
Wang Y. [2 ]
Chen G. [1 ,3 ]
机构：
[1] Department of Hepatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou
[2] Department of Epidemiology and Biostatistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou
[3] Zhejiang-Germany Interdisciplinary Joint Laboratory of Hepatobiliary-Pancreatic Tumor and Bioengineering, the First Affiliated Hospital of Wenzhou Medical University, Zhejiang, Wenzhou
来源：
Computers in Biology and Medicine | 2024年 / 173卷
基金：
中国国家自然科学基金;
关键词：
Artificial intelligence; Hepatocellular carcinoma; Machine learning; Precision medicine; Radiomics;
D O I：
10.1016/j.compbiomed.2024.108337
中图分类号：
学科分类号：
摘要：
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer, with an increasing incidence and poor prognosis. In the past decade, artificial intelligence (AI) technology has undergone rapid development in the field of clinical medicine, bringing the advantages of efficient data processing and accurate model construction. Promisingly, AI-based radiomics has played an increasingly important role in the clinical decision-making of HCC patients, providing new technical guarantees for prediction, diagnosis, and prognostication. In this review, we evaluated the current landscape of AI radiomics in the management of HCC, including its diagnosis, individual treatment, and survival prognosis. Furthermore, we discussed remaining challenges and future perspectives regarding the application of AI radiomics in HCC. © 2024
引用
收藏
相关论文
共 50 条
  • [1] Application of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma: A review
    Jimenez Perez, Miguel
    Grande, Rocio Gonzalez
    [J]. WORLD JOURNAL OF GASTROENTEROLOGY, 2020, 26 (37) : 5617 - 5628
  • [2] Application of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma: A review
    Miguel Jiménez Pérez
    Rocío González Grande
    [J]. World Journal of Gastroenterology, 2020, (37) : 5617 - 5628
  • [3] State of the Art in Artificial Intelligence and Radiomics in Hepatocellular Carcinoma
    Castaldo, Anna
    De Lucia, Davide Raffaele
    Pontillo, Giuseppe
    Gatti, Marco
    Cocozza, Sirio
    Ugga, Lorenzo
    Cuocolo, Renato
    [J]. DIAGNOSTICS, 2021, 11 (07)
  • [4] Radiomics in the diagnosis and treatment of hepatocellular carcinoma
    Jiang, Chun
    Cai, Yi-Qi
    Yang, Jia-Jia
    Ma, Can-Yu
    Chen, Jia-Xi
    Huang, Lan
    Xiang, Ze
    Wu, Jian
    [J]. HEPATOBILIARY & PANCREATIC DISEASES INTERNATIONAL, 2023, 22 (04) : 346 - 351
  • [5] Radiomics in the diagnosis and treatment of hepatocellular carcinoma
    Chun Jiang
    Yi-Qi Cai
    Jia-Jia Yang
    Can-Yu Ma
    Jia-Xi Chen
    Lan Huang
    Ze Xiang
    Jian Wu
    [J]. Hepatobiliary & Pancreatic Diseases International, 2023, 22 (04) : 346 - 351
  • [6] Systematic review: Radiomics for the diagnosis and prognosis of hepatocellular carcinoma
    Harding-Theobald, Emily
    Louissaint, Jeremy
    Maraj, Bharat
    Cuaresma, Edward
    Townsend, Whitney
    Mendiratta-Lala, Mishal
    Singal, Amit G.
    Su, Grace L.
    Lok, Anna S.
    Parikh, Neehar D.
    [J]. ALIMENTARY PHARMACOLOGY & THERAPEUTICS, 2021, 54 (07) : 890 - 901
  • [7] Application of artificial intelligence for diagnosis, prognosis and treatment in psychology: a review
    Tahan, Mohammad
    Saleem, Tamkeen
    [J]. NEUROPSYCHIATRIA I NEUROPSYCHOLOGIA, 2023, 18 (1-2): : 36 - 45
  • [8] Artificial intelligence in the diagnosis and management of hepatocellular carcinoma
    Sato, Masaya
    Tateishi, Ryosuke
    Yatomi, Yutaka
    Koike, Kazuhiko
    [J]. JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, 2021, 36 (03) : 551 - 560
  • [9] Editorial: The application of artificial intelligence in diagnosis, treatment and prognosis in urologic oncology
    Zhu, Xue-hua
    Wu, Chin-Lee
    Zu, Xiong-bing
    Lu, Jian
    [J]. FRONTIERS IN ONCOLOGY, 2022, 12
  • [10] Artificial Intelligence in the Diagnosis of Hepatocellular Carcinoma: A Systematic Review
    Martinino, Alessandro
    Aloulou, Mohammad
    Chatterjee, Surobhi
    Scarano Pereira, Juan Pablo
    Singhal, Saurabh
    Patel, Tapan
    Kirchgesner, Thomas Paul-Emile
    Agnes, Salvatore
    Annunziata, Salvatore
    Treglia, Giorgio
    Giovinazzo, Francesco
    [J]. JOURNAL OF CLINICAL MEDICINE, 2022, 11 (21)
12345