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Cited by in CrossRef
For: Liu W, Liu X, Peng M, Chen GQ, Liu PH, Cui XW, Jiang F, Dietrich CF. Artificial intelligence for hepatitis evaluation. World J Gastroenterol 2021; 27(34): 5715-5726 [PMID: 34629796 DOI: 10.3748/wjg.v27.i34.5715]
URL: https://www.wjgnet.com/1007-9327/full/v27/i34/5715.htm
Number Citing Articles
1
Ashley Spann, Alexandra T. Strauss, Sharon E. Davis, Mamatha Bhat. The Role of Artificial Intelligence in Chronic Liver Diseases and Liver TransplantationGastroenterology 2025; 169(3): 456 doi: 10.1053/j.gastro.2025.05.012
2
Ziyang Hu, Dantong Cao, Yanni Hu, Baixin Wang, Yifan Zhang, Rong Tang, Jia Zhuang, Antian Gao, Ying Chen, Zitong Lin. Diagnosis of in vivo vertical root fracture using deep learning on cone-beam CT imagesBMC Oral Health 2022; 22(1) doi: 10.1186/s12903-022-02422-9
3
Eva Schmidt, Paul Martin Putora, Rianne Fijten. The Epistemic Cost of Opacity: How the Use of Artificial Intelligence Undermines the Knowledge of Medical Doctors in High-Stakes ContextsPhilosophy & Technology 2025; 38(1) doi: 10.1007/s13347-024-00834-9
4
Huzaira Razzaque, Shahzaib Ashraf, Wajdi Kallel, Muhammad Naeem, Muhammad Sohail. A strategy for hepatitis diagnosis by using spherical $ q $-linear Diophantine fuzzy Dombi aggregation information and the VIKOR methodAIMS Mathematics 2023; 8(6): 14362 doi: 10.3934/math.2023735
5
Jun Huang, Chunbei Zhao, Xinhe Zhang, Qiaohui Zhao, Yanting Zhang, Liping Chen, Guifu Dai. Hepatitis B virus pathogenesis relevant immunosignals uncovering amino acids utilization related risk factors guide artificial intelligence-based precision medicineFrontiers in Pharmacology 2022; 13 doi: 10.3389/fphar.2022.1079566
6
Femilda Josephin Joseph Shobana Bai, R. Anita Jasmine. Decision-Making Models2024; : 523 doi: 10.1016/B978-0-443-16147-6.00015-3
7
Judit Romero-Vico, Elena Vargas-Accarino, Adriana Palom, Núria Fabrellas, Maria Buti. Utility of mobile applications in the management of hepatitis B: A systematic reviewGastroenterología y Hepatología (English Edition) 2025; 48(7): 502395 doi: 10.1016/j.gastre.2025.502395
8
Hareesha Rishab Bharadwaj, Dushyant Singh Dahiya, Priyal Dalal, Muhtasim Fuad, Hafiz Ali Raza, Muhammad Ibrahim, Arkadeep Dhali, Fariha Hasan, Balamrit Singh Sokhal, Karan Yagnik, Bhanu Siva Mohan Pinnam, Farhan Gohar, Hassam Ali. Artificial Intelligence in Population-Level Gastroenterology and Hepatology: A Comprehensive Review of Public Health Applications and Quantitative ImpactDigestive Diseases and Sciences 2025;  doi: 10.1007/s10620-025-09452-7
9
Kathleen Möller, Ehsan Safai Zadeh, Christian Görg, Yi Dong, Xinwu Cui, Adrian Lim, Chiara de Molo, Carla Serra, Ana Martín Algíbez, Analisa Berzigotti, Fabio Piscaglia, Siegbert Faiss, Christoph F. Dietrich. Focal liver lesions other than hepatocellular carcinoma in cirrhosis: Diagnostic challengesJournal of Translational Internal Medicine 2023; 10(4): 308 doi: 10.2478/jtim-2022-0068
10
Ziyang Hu, Baixin Wang, Xiao Pan, Dantong Cao, Antian Gao, Xudong Yang, Ying Chen, Zitong Lin. Using deep learning to distinguish malignant from benign parotid tumors on plain computed tomography imagesFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.919088
11
Hao-Yu Mao, Jing-Cheng Hu, Tao Zhang, Yan-Fen Fan, Xi-Ming Wang, Chun-Hong Hu, Yi-Xing Yu. Hepatocellular carcinoma (HCC) and focal nodular hyperplasia (FNH) showing iso- or hyperintensity in the hepatobiliary phase: differentiation using Gd-EOB-DTPA enhanced MRI radiomics and deep learning featuresBMC Medical Imaging 2025; 25(1) doi: 10.1186/s12880-025-01927-3
12
Ole Graumann, Wu Cui Xin, Adrian Goudie, Michael Blaivas, Barbara Braden, Susan Campbell Westerway, Maria Cristina Chammas, Yi Dong, Odd Helge Gilja, Peter Ching-Chang Hsieh, An Jiang Tian, Ping Liang, Kathleen Möller, Christian Pállson Nolsøe, Adrian Săftoiu, Christoph Frank Dietrich. Artificial Intelligence in Abdominal, Gynecological, Obstetric, Musculoskeletal, Vascular and Interventional UltrasoundUltrasound in Medicine & Biology 2025; 51(11): 1865 doi: 10.1016/j.ultrasmedbio.2025.07.008
13
Ming Ye, Bo Liu, Wenchao Jiang, Long Li. Anterior cruciate ligament injury intelligent detection via slice standardization and local feature attentionMedical Physics 2025; 52(11) doi: 10.1002/mp.70091
14
Jaishree Meena, Avdhesh Gupta, Rashmi Sharma, Vishan Kumar Gupta, Harvinder Singh, Vanshika Sachdeva. Artificial Intelligence Transforming Hepatitis Diagnosis, Treatment, and its Research Frontiers2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0 2025; : 1 doi: 10.1109/OTCON65728.2025.11070342
15
Di Zhang, Xian-Ya Zhang, Wen-Wu Lu, Jin-Tang Liao, Chao-Xue Zhang, Qi Tang, Xin-Wu Cui. Predicting Ki-67 expression in hepatocellular carcinoma: nomogram based on clinical factors and contrast-enhanced ultrasound radiomics signaturesAbdominal Radiology 2024; 49(5): 1419 doi: 10.1007/s00261-024-04191-1
16
Xiaolei Zhang, Fuyan Tang, Wei Shu, Dongpeng Li, Yuying Liu, Haibin Xiao, Jin Zhou, Ping Li. Small-molecule fluorescent probes for bioactive species in inflammatory disease: arthritis, pneumonia and hepatitisThe Analyst 2023; 148(21): 5303 doi: 10.1039/D3AN01289A
17
Basavraj S Nagoba, Abhijit S Rayate. Hepatitis E virus infectionsWorld Journal of Virology 2024; 13(2): 90951 doi: 10.5501/wjv.v13.i2.90951
18
Judit Romero-Vico, Elena Vargas-Accarino, Adriana Palom, Núria Fabrellas, Maria Buti. Utilidad de las aplicaciones móviles en el manejo de la hepatitis B: una revisión sistemáticaGastroenterología y Hepatología 2025; 48(7): 502395 doi: 10.1016/j.gastrohep.2025.502395