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] |
---|---|
URL: | https://www.wjgnet.com/1948-5204/full/v26/i37/5617.htm |
Number | Citing Articles |
1 |
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
|
2 |
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
|
3 |
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
|
4 |
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
|
5 |
Ece Sariyar, Zeynep Firtina Karagonlar. Modelling the Sorafenib-resistant Liver Cancer Microenvironment by Using 3-D Spheroids. Alternatives to Laboratory Animals 2023; 51(5): 301 doi: 10.1177/02611929231193421
|
6 |
Artificial Intelligence Used for the Diagnosis, Treatment and Surveillance of Hepatocellular Carcinoma: A Systematic Review. Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal 2022; 6(10): 1 doi: 10.26685/urncst.371
|
7 |
B. Lakshmipriya, Biju Pottakkat, G. Ramkumar. Deep learning techniques in liver tumour diagnosis using CT and MR imaging - A systematic review. Artificial Intelligence in Medicine 2023; 141: 102557 doi: 10.1016/j.artmed.2023.102557
|
8 |
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
|
9 |
Digital Twins and Healthcare. Advances in Medical Technologies and Clinical Practice 2022; : 35 doi: 10.4018/978-1-6684-5925-6.ch003
|
10 |
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
|
11 |
Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases. 2023; : 109 doi: 10.1016/B978-0-323-99136-0.00015-5
|
12 |
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
|
13 |
Tanjila Tabassum Fateema, Jeba Fairooz Rahman, Mohiuddin Ahmad. Enhancing TACE Response Prediction for Hepatocellular Carcinoma: A Deep Learning Framework Based on Pre-Procedural CT and Modified AlexNet. 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT) 2024; : 1310 doi: 10.1109/ICEEICT62016.2024.10534501
|
14 |
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
|
15 |
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
|
16 |
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
|
17 |
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
|
18 |
Mohammad Saeid Rezaee-Zavareh, Naomy Kim, Yee Hui Yeo, Hyunseok Kim, Jeong Min Lee, Claude B. Sirlin, Bachir Taouli, Rola Saouaf, Ashley M. Wachsman, Mazen Noureddin, Zhiping Wang, Jason Moore, Debiao Li, Amit G. Singal, Ju Dong Yang. Artificial intelligence in liver cancer research: a scientometrics analysis of trends and topics. Frontiers in Oncology 2024; 14 doi: 10.3389/fonc.2024.1355454
|
19 |
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
|
20 |
Feifei Lu, Yao Meng, Xiaoting Song, Xiaotong Li, Zhuang Liu, Chunru Gu, Xiaojie Zheng, Yi Jing, Wei Cai, Kanokwan Pinyopornpanish, Andrea Mancuso, Fernando Gomes Romeiro, Nahum Méndez-Sánchez, Xingshun Qi. Artificial Intelligence in Liver Diseases: Recent Advances. Advances in Therapy 2024; doi: 10.1007/s12325-024-02781-5
|
21 |
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 2023; 22(6): 594 doi: 10.1016/j.hbpd.2022.11.005
|
22 |
Xiaojun Zeng, Haisu Tao, Wan Yee Lau, Chihua Fang. Construction and Clinical Application of Digital Intelligent Diagnosis and
Treatment System for Hepatocellular Carcinoma. Current Chinese Science 2023; 3(6): 452 doi: 10.2174/2210298103666230412082214
|
23 |
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
|
24 |
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
|
25 |
Ren Yuan Lee, Yang Wu, Denise Goh, Verlyn Tan, Chan Way Ng, Jeffrey Chun Tatt Lim, Mai Chan Lau, Joe Poh Sheng Yeong. Application of Artificial Intelligence to In Vitro Tumor Modeling and Characterization of the Tumor Microenvironment. Advanced Healthcare Materials 2023; 12(14) doi: 10.1002/adhm.202202457
|
26 |
Elena Codruta Gheorghe, Carmen Nicolau, Adina Kamal, Anca Udristoiu, Lucian Gruionu, Adrian Saftoiu. Artificial Intelligence (AI)-Enhanced Ultrasound Techniques Used in Non-Alcoholic Fatty Liver Disease: Are They Ready for Prime Time?. Applied Sciences 2023; 13(8): 5080 doi: 10.3390/app13085080
|
27 |
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
|
28 |
Esube Theodros, Ganji Purnachndra Nagaraju.
Artificial Intelligence and Precision Medicine: Outcome of Immunotherapy in Hepatocellular Carcinoma
. Critical Reviews in Immunology 2022; 42(6): 1 doi: 10.1615/CritRevImmunol.2022047261
|
29 |
Yanmei Dai, Dongmin Liu, Yanjie Xin, Yuchong Li, Dandan Wang, Baochun He, Xu Zeng, Jiaping Li, Fucang Jia, Huijie Jiang. Efficacy and Interpretability Analysis of Noninvasive Imaging Based on Computed Tomography in Patients with Hepatocellular Carcinoma After Initial Transarterial Chemoembolization. Academic Radiology 2023; 30: S61 doi: 10.1016/j.acra.2023.05.027
|
30 |
Aashna Mehta, Wireko Andrew Awuah, Sucharu Asri, Muhammad Jawad Zahid, Jyi Cheng Ng, Heli Patel, Helen Huang, Katherine Candelario, Ayush Anand, Toufik-Abdul Rahman, Vladyslav Sikora, Arda Isik. Exploration of Artificial Intelligence and Blockchain Technology in Smart and Secure Healthcare. Advances in Computing Communications and Informatics 2024; 7: 111 doi: 10.2174/9789815165432124070008
|
31 |
Odysseas P. Chatzipanagiotou, Constantinos Loukas, Michail Vailas, Nikolaos Machairas, Stylianos Kykalos, Georgios Charalampopoulos, Dimitrios Filippiadis, Evangellos Felekouras, Dimitrios Schizas. Artificial intelligence in hepatocellular carcinoma diagnosis: a comprehensive review of current literature. Journal of Gastroenterology and Hepatology 2024; doi: 10.1111/jgh.16663
|
32 |
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
|
33 |
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
|
34 |
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
|
35 |
Benoit Schmauch, Sarah S. Elsoukkary, Amika Moro, Roma Raj, Chase J. Wehrle, Kazunari Sasaki, Julien Calderaro, Patrick Sin-Chan, Federico Aucejo, Daniel E. Roberts. Combining a deep learning model with clinical data better predicts hepatocellular carcinoma behavior following surgery. Journal of Pathology Informatics 2023; : 100360 doi: 10.1016/j.jpi.2023.100360
|
36 |
笑楠 汪. Application of Clinical Decision Support Sys-tem Based on Artificial Intelligence in Hepatocellular Carcinoma. Advances in Clinical Medicine 2023; 13(07): 11368 doi: 10.12677/ACM.2023.1371589
|
37 |
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
|
38 |
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
|
39 |
Golnoosh Ansari, Mohammad Mirza-Aghazadeh-Attari, Alireza Mohseni, Seyedeh Panid Madani, Haneyeh Shahbazian, Timothy M. Pawlik, Ihab R. Kamel. Response Assessment of Primary Liver Tumors to Novel Therapies: an Imaging Perspective. Journal of Gastrointestinal Surgery 2023; 27(10): 2245 doi: 10.1007/s11605-023-05762-1
|