For: | Jiménez Pérez M, Grande RG. Application of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma: A review. World J Gastroenterol 2020; 26(37): 5617-5628 [PMID: 33088156 DOI: 10.3748/wjg.v26.i37.5617] |
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URL: | https://www.wjgnet.com/1007-9327/full/v26/i37/5617.htm |
Number | Citing Articles |
1 |
Anas Taha, Vincent Ochs, Leos N. Kayhan, Bassey Enodien, Daniel M. Frey, Lukas Krähenbühl, Stephanie Taha-Mehlitz. Advancements of Artificial Intelligence in Liver-Associated Diseases and Surgery. Medicina 2022; 58(4): 459 doi: 10.3390/medicina58040459
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2 |
Thifhelimbilu Luvhengo, Thulo Molefi, Demetra Demetriou, Rodney Hull, Zodwa Dlamini. Artificial Intelligence and Precision Oncology. 2023; : 49 doi: 10.1007/978-3-031-21506-3_3
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3 |
Shan Yao, Zheng Ye, Yi Wei, Han-Yu Jiang, Bin Song. Radiomics in hepatocellular carcinoma: A state-of-the-art review. World Journal of Gastrointestinal Oncology 2021; 13(11): 1599-1615 doi: 10.4251/wjgo.v13.i11.1599
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4 |
Yuxiang Wang, Zhongming Huang. High precision detection of small hepatocellular carcinoma using improved EfficientNet with Self-Attention. 2022 IEEE/ACIS 22nd International Conference on Computer and Information Science (ICIS) 2022; : 76 doi: 10.1109/ICIS54925.2022.9882470
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5 |
Haopeng Kuang, Zhongwei Yang, Xukun Zhang, Shunli Wang, Lihua Zhang. A Review of Artificial Intelligence in Preoperative Clinical Staging of Liver Cancer. 2021 International Conference on Networking Systems of AI (INSAI) 2021; : 69 doi: 10.1109/INSAI54028.2021.00024
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6 |
Dan-Dan Wang, Jin-Feng Zhang, Lin-Han Zhang, Meng Niu, Hui-Jie Jiang, Fu-Cang Jia, Shi-Ting Feng. Clinical-radiomics predictors to identify the suitability of transarterial chemoembolization treatment in intermediate-stage hepatocellular carcinoma: A multicenter study. Hepatobiliary & Pancreatic Diseases International 2022; doi: 10.1016/j.hbpd.2022.11.005
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7 |
Carl F. Sabottke, Bradley M. Spieler, Ahmed W. Moawad, Khaled M. Elsayes. Artificial Intelligence in Imaging of Chronic Liver Diseases. Magnetic Resonance Imaging Clinics of North America 2021; 29(3): 451 doi: 10.1016/j.mric.2021.05.011
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8 |
Valeria Tonini, Gabriele Vigutto, Riccardo Donati. Liver surgery for colorectal metastasis: New paths and new goals with the help of artificial intelligence. Artificial Intelligence in Gastroenterology 2022; 3(2): 28-35 doi: 10.35712/aig.v3.i2.28
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9 |
Xiaomin Shen, Jinxin Wu, Junwei Su, Zhenyu Yao, Wei Huang, Li Zhang, Yiheng Jiang, Wei Yu, Zhao Li. Revisiting artificial intelligence diagnosis of hepatocellular carcinoma with DIKWH framework. Frontiers in Genetics 2023; 14 doi: 10.3389/fgene.2023.1004481
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10 |
Mahmoud Y. Shams, El-Sayed M. El-kenawy, Abdelhameed Ibrahim, Ahmed M. Elshewey. A hybrid dipper throated optimization algorithm and particle swarm optimization (DTPSO) model for hepatocellular carcinoma (HCC) prediction. Biomedical Signal Processing and Control 2023; 85: 104908 doi: 10.1016/j.bspc.2023.104908
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11 |
Bradley Spieler, Carl Sabottke, Ahmed W. Moawad, Ahmed M. Gabr, Mustafa R. Bashir, Richard Kinh Gian Do, Vahid Yaghmai, Radu Rozenberg, Marielia Gerena, Joseph Yacoub, Khaled M. Elsayes. Artificial intelligence in assessment of hepatocellular carcinoma treatment response. Abdominal Radiology 2021; 46(8): 3660 doi: 10.1007/s00261-021-03056-1
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12 |
Li-Shi Li, Xiang-Yu Guo, Kun Sun. Recent advances in blood-based and artificial intelligence-enhanced approaches for gastrointestinal cancer diagnosis. World Journal of Gastroenterology 2021; 27(34): 5666-5681 doi: 10.3748/wjg.v27.i34.5666
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13 |
Digital Twins and Healthcare. Advances in Medical Technologies and Clinical Practice 2022; : 35 doi: 10.4018/978-1-6684-5925-6.ch003
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14 |
Alexandru Blidisel, Iasmina Marcovici, Dorina Coricovac, Florin Hut, Cristina Adriana Dehelean, Octavian Marius Cretu. Experimental Models of Hepatocellular Carcinoma—A Preclinical Perspective. Cancers 2021; 13(15): 3651 doi: 10.3390/cancers13153651
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15 |
Yanmei Dai, Huijie Jiang, Shi-Ting Feng, Yuwei Xia, Jinping Li, Sheng Zhao, Dandan Wang, Xu Zeng, Yusi Chen, Yanjie Xin, Dongmin Liu. Noninvasive Imaging Evaluation Based on Computed Tomography of the Efficacy of Initial Transarterial Chemoembolization to Predict Outcome in Patients with Hepatocellular Carcinoma. Journal of Hepatocellular Carcinoma 2022; : 273 doi: 10.2147/JHC.S351077
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16 |
Aydin Eresen, Chong Sun, Kang Zhou, Junjie Shangguan, Bin Wang, Liang Pan, Su Hu, Quanhong Ma, Jia Yang, Zhuoli Zhang, Vahid Yaghmai. Early Differentiation of Irreversible Electroporation Ablation Regions With Radiomics Features of Conventional MRI. Academic Radiology 2022; 29(9): 1378 doi: 10.1016/j.acra.2021.11.020
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17 |
Joao Miranda, Natally Horvat, Gilton Marques Fonseca, Jose de Arimateia Batista Araujo-Filho, Maria Clara Fernandes, Charlotte Charbel, Jayasree Chakraborty, Fabricio Ferreira Coelho, Cesar Higa Nomura, Paulo Herman. Current status and future perspectives of radiomics in hepatocellular carcinoma. World Journal of Gastroenterology 2023; 29(1): 43-60 doi: 10.3748/wjg.v29.i1.43
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18 |
Ece Sarıyar, Ozum Karpat, Sıla Sezan, Sude Mısra Baylan, Arda Kıpçak, Kadriye Guven, Esra Erdal, Zeynep Fırtına Karagonlar. EGFR and Lyn inhibition augments regorafenib induced cell death in sorafenib resistant 3D tumor spheroid model. Cellular Signalling 2023; 105: 110608 doi: 10.1016/j.cellsig.2023.110608
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19 |
Anna Castaldo, Davide Raffaele De Lucia, Giuseppe Pontillo, Marco Gatti, Sirio Cocozza, Lorenzo Ugga, Renato Cuocolo. State of the Art in Artificial Intelligence and Radiomics in Hepatocellular Carcinoma. Diagnostics 2021; 11(7): 1194 doi: 10.3390/diagnostics11071194
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20 |
Vo Tan Duc, Phan Cong Chien, Le Duy Mai Huyen, Tran Le Minh Chau, Nguyen Do Trung Chanh, Duong Thi Minh Soan, Hoang Cao Huyen, Huynh Minh Thanh, Le Nguyen Gia Hy, Nguyen Hoang Nam, Mai Thi Tu Uyen, Le Huu Hanh Nhi, Le Huu Nhat Minh. Deep Learning Model With Convolutional Neural Network for Detecting and Segmenting Hepatocellular Carcinoma in CT: A Preliminary Study. Cureus 2022; doi: 10.7759/cureus.21347
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21 |
Octav Ginghina, Ariana Hudita, Marius Zamfir, Andrada Spanu, Mara Mardare, Irina Bondoc, Laura Buburuzan, Sergiu Emil Georgescu, Marieta Costache, Carolina Negrei, Cornelia Nitipir, Bianca Galateanu. Liquid Biopsy and Artificial Intelligence as Tools to Detect Signatures of Colorectal Malignancies: A Modern Approach in Patient’s Stratification. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.856575
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22 |
Caroline E. Richburg, Lesly A. Dossett, Tasha M. Hughes. Cognitive Bias and Dissonance in Surgical Practice. Surgical Clinics of North America 2023; 103(2): 271 doi: 10.1016/j.suc.2022.11.003
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