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For: Ahn JC, Qureshi TA, Singal AG, Li D, Yang JD. Deep learning in hepatocellular carcinoma: Current status and future perspectives. World J Hepatol 2021; 13(12): 2039-2051 [PMID: 35070007 DOI: 10.4254/wjh.v13.i12.2039]
URL: https://www.wjgnet.com/1948-5204/full/v13/i12/2039.htm
Number Citing Articles
1
Jiansong Zhang, Yongjian Chen, Peizhong Liu. Automatic Recognition of Standard Liver Sections Based on Vision-Transformer2022 IEEE 16th International Conference on Anti-counterfeiting, Security, and Identification (ASID) 2022; : 1 doi: 10.1109/ASID56930.2022.9995936
2
Naveen Bhagat, Nipun Verma, Virendra Singh. HCC prediction post SVR: Many tools yet limited generalizability!Journal of Hepatology 2022; 77(4): 1226 doi: 10.1016/j.jhep.2022.04.028
3
Xing Xu, Xue Zhang, Yang Zhao, Xiaoyang Zhang, Hongfang Tuo. Comprehensive treatment of intermediate and advanced primary hepatocellular carcinoma based on transcatheter arterial chemoembolization (Review)Oncology Letters 2025; 30(1): 1 doi: 10.3892/ol.2025.15078
4
Zhengtai Li, Lei Huang, Changyuan Yu. Advanced Prediction of Hepatic Oncogenic Transformation in HBV Patients via RNA-Seq Data Analysis and Deep Learning TechniquesInternational Journal of Molecular Sciences 2024; 25(18): 9827 doi: 10.3390/ijms25189827
5
超 陈. Research Progress of Deep Learning in Pathological Diagnosis of Liver CancerAdvances in Clinical Medicine 2023; 13(12): 18864 doi: 10.12677/ACM.2023.13122654
6
Miner Hu, Xiaojun Xia, Lichao Chen, Yunpeng Jin, Zhenhua Hu, Shudong Xia, Xudong Yao. Emerging biomolecules for practical theranostics of liver hepatocellular carcinomaAnnals of Hepatology 2023; 28(6): 101137 doi: 10.1016/j.aohep.2023.101137
7
Victor Lopez-Lopez, Zeniche Morise, Mariano Albaladejo-González, Concepción Gomez Gavara, Brian K. P. Goh, Ye Xin Koh, Sijberden Jasper Paul, Mohammed Abu Hilal, Kohei Mishima, Jaime Arthur Pirola Krürger, Paulo Herman, Alvaro Cerezuela, Roberto Brusadin, Takashi Kaizu, Juan Lujan, Fernando Rotellar, Kazuteru Monden, Mar Dalmau, Naoto Gotohda, Masashi Kudo, Akishige Kanazawa, Yutaro Kato, Hiroyuki Nitta, Satoshi Amano, Raffaele Dalla Valle, Mario Giuffrida, Masaki Ueno, Yuichiro Otsuka, Daisuke Asano, Minoru Tanabe, Osamu Itano, Takuya Minagawa, Dilmurodjon Eshmuminov, Irene Herrero, Pablo Ramírez, José A. Ruipérez-Valiente, Ricardo Robles-Campos, Go Wakabayashi. Explainable artificial intelligence prediction-based model in laparoscopic liver surgery for segments 7 and 8: an international multicenter studySurgical Endoscopy 2024; 38(5): 2411 doi: 10.1007/s00464-024-10681-6
8
Yinghui Qiu, Jingxiang Xu, Wei Liao, Yuxi Wen, Shiyue Jiang, Jiahui Wen, Chao Zhao. Suppression of hepatocellular carcinoma by Ulva lactuca ulvan via gut microbiota and metabolite interactionsJournal of Advanced Research 2023; 52: 103 doi: 10.1016/j.jare.2023.04.008
9
Mariana Michelle Ramírez-Mejía, Nahum Méndez-Sánchez. From prediction to prevention: Machine learning revolutionizes hepatocellular carcinoma recurrence monitoringWorld Journal of Gastroenterology 2024; 30(7): 631-635 doi: 10.3748/wjg.v30.i7.631
10
Vincent Sauzeau, Julien Beignet, Gérard Vergoten, Christian Bailly. Overexpressed or hyperactivated Rac1 as a target to treat hepatocellular carcinomaPharmacological Research 2022; 179: 106220 doi: 10.1016/j.phrs.2022.106220
11
Seyed Mahdi Hosseiniyan Khatibi, Farima Najjarian, Hamed Homaei Rad, Mohammadreza Ardalan, Mohammad Teshnehlab, Sepideh Zununi Vahed, Saeed Pirmoradi. Key therapeutic targets implicated at the early stage of hepatocellular carcinoma identified through machine-learning approachesScientific Reports 2023; 13(1) doi: 10.1038/s41598-023-30720-x
12
S. Greeshma Sai, P. Nirmala. Effective methods for detecting liver cancer with higher accuracy using CNN and comparing it to logistic regressionINTERNATIONAL CONFERENCE ON NEWER ENGINEERING CONCEPTS AND TECHNOLOGY: ICONNECT-2024 2025; 3270: 020198 doi: 10.1063/5.0263143
13
Siyang Yao, Qiangsong Huang, Yan Zou, Tianqi Liu, Yongyu Yang, Tao Huang, Yuanquan Zhao, Xiaofeng Dong. The efficacy and safety of thymosin alpha-1 combined with lenvatinib plus sintilimab in unresectable hepatocellular carcinoma: a retrospective studyScientific Reports 2025; 15(1) doi: 10.1038/s41598-025-97160-7
14
Ashwini Arvind, Kennedy Redmon, Amit G Singal. Persisting challenges in the early detection of hepatocellular carcinomaExpert Review of Anticancer Therapy 2025; 25(3): 229 doi: 10.1080/14737140.2025.2467184
15
Felix Schön, Aaron Kieslich, Heiner Nebelung, Carina Riediger, Ralf-Thorsten Hoffmann, Alex Zwanenburg, Steffen Löck, Jens-Peter Kühn. Comparative analysis of radiomics and deep-learning algorithms for survival prediction in hepatocellular carcinomaScientific Reports 2024; 14(1) doi: 10.1038/s41598-023-50451-3
16
Jiansong Zhang, Yongjian Chen, Pan Zeng, Yao Liu, Yong Diao, Peizhong Liu. Ultra-Attention: Automatic Recognition of Liver Ultrasound Standard Sections Based on Visual Attention Perception StructuresUltrasound in Medicine & Biology 2023; 49(4): 1007 doi: 10.1016/j.ultrasmedbio.2022.12.016
17
Sumit Roy, Vancha Harish, Sharfuddin Mohd, Sachin Kumar Singh. Breaking Down the Arsenal: Recent Progress in the Nanotherapeutic Strategies for Hepatocellular Carcinoma TreatmentAdvanced Therapeutics 2024;  doi: 10.1002/adtp.202400126
18
Amit Yelsangikar, Prachi S. Patil. Redefining HCC Surveillance in India: A Call for Innovative and Inclusive StrategiesJournal of Clinical and Experimental Hepatology 2024; 14(6): 101474 doi: 10.1016/j.jceh.2024.101474
19
Muhammed Yaman Swied, Bader Abou Shaar, Nabel Rajab Basha. Exploring the Current Role of Deep Learning in Radiologic Imaging of Gastrointestinal DiseasesInnovations in Digital Health, Diagnostics, and Biomarkers 2024; 4(2024): 68 doi: 10.36401/IDDB-24-1
20
古门勒 乌日. Progress in the Study of Risk Factors Associated with Primary Liver CancerAdvances in Clinical Medicine 2024; 14(02): 4479 doi: 10.12677/ACM.2024.142622
21
Ryan Bitar, Riad Salem, Richard Finn, Tim F. Greten, S. Nahum Goldberg, Julius Chapiro. Interventional Oncology Meets Immuno-oncology: Combination Therapies for Hepatocellular CarcinomaRadiology 2024; 313(2) doi: 10.1148/radiol.232875
22
馨瑶 王. Application Value of Ultasound-Based Radiomics in the Diagnosis and Treatment of Hepatocellular CarcinomaAdvances in Clinical Medicine 2023; 13(11): 18386 doi: 10.12677/ACM.2023.13112582
23
Zhao Li, Lan Lan, Yujia Zhou, Ruoxing Li, Kenneth D. Chavin, Hua Xu, Liang Li, David J.H. Shih, W. Jim Zheng. Developing deep learning-based strategies to predict the risk of hepatocellular carcinoma among patients with nonalcoholic fatty liver disease from electronic health recordsJournal of Biomedical Informatics 2024; 152: 104626 doi: 10.1016/j.jbi.2024.104626
24
Abolfazl Akbari, Maryam Adabi, Mohsen Masoodi, Abolfazl Namazi, Fatemeh Mansouri, Seidamir Pasha Tabaeian, Zahra Shokati Eshkiki. Artificial intelligence: clinical applications and future advancement in gastrointestinal cancersFrontiers in Artificial Intelligence 2024; 7 doi: 10.3389/frai.2024.1446693
25
Devi Rajeev, S Dr. Remya, Dr. Anand Nayyar, Dr. Krishnanunni Nair. Predicting Hepatocellular Carcinoma Graft Survival Rate in Post Liver Transplantation Using DeepHitProcedia Computer Science 2024; 233: 307 doi: 10.1016/j.procs.2024.03.220
26
冰洁 李. Deep Learning in the Diagnosis and Treatment of Liver Cancer: Review and Pro-spectsAdvances in Clinical Medicine 2023; 13(09): 14103 doi: 10.12677/ACM.2023.1391973
27
Yuri S. Velichko, Nicolo Gennaro, Meghana Karri, Matthew Antalek, Ulas Bagci. A Comprehensive Review of Deep Learning Approaches for Magnetic Resonance Imaging Liver Tumor AnalysisAdvances in Clinical Radiology 2023; 5(1): 1 doi: 10.1016/j.yacr.2023.06.001
28
Hang Sun, Huayu Yang, Yilei Mao. Personalized treatment for hepatocellular carcinoma in the era of targeted medicine and bioengineeringFrontiers in Pharmacology 2023; 14 doi: 10.3389/fphar.2023.1150151
29
Pablo Martínez-Blanco, Miguel Suárez, Sergio Gil-Rojas, Ana María Torres, Natalia Martínez-García, Pilar Blasco, Miguel Torralba, Jorge Mateo. Prognostic Factors for Mortality in Hepatocellular Carcinoma at Diagnosis: Development of a Predictive Model Using Artificial IntelligenceDiagnostics 2024; 14(4): 406 doi: 10.3390/diagnostics14040406