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Cited by in CrossRef
For: Liu JQ, Ren JY, Xu XL, Xiong LY, Peng YX, Pan XF, Dietrich CF, Cui XW. Ultrasound-based artificial intelligence in gastroenterology and hepatology. World J Gastroenterol 2022; 28(38): 5530-5546 [PMID: 36304086 DOI: 10.3748/wjg.v28.i38.5530]
URL: https://www.wjgnet.com/1007-9327/full/v28/i38/5530.htm
Number Citing Articles
1
Amit Kumar, Shubham Goel, Abhishek Chaudhary, Sunil Dutt, Vivek K. Mishra, Raj Kumar. Artificial Intelligence-Based Wearable Sensing Technologies for the Management of Cancer, Diabetes, and COVID-19Biosensors 2025; 15(11): 756 doi: 10.3390/bios15110756
2
Kathleen Möller, Christian Jenssen, Klaus Dirks, Alois Hollerweger, Heike Gottschall, Siegbert Faiss, Christoph F. Dietrich. Small Intestine Tumors: Diagnostic Role of Multiparametric UltrasoundHealthcare 2025; 13(21): 2776 doi: 10.3390/healthcare13212776
3
Yu Jiang, Kang Wang, Yu-Ran Wang, Yan-Jun Xiang, Zong-Han Liu, Jin-Kai Feng, Shu-Qun Cheng. Preoperative and Prognostic Prediction of Microvascular Invasion in Hepatocellular Carcinoma: A Review Based on Artificial IntelligenceTechnology in Cancer Research & Treatment 2023; 22 doi: 10.1177/15330338231212726
4
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 AdvancesAdvances in Therapy 2024; 41(3): 967 doi: 10.1007/s12325-024-02781-5
5
Mohammed Faiz Shajahan, Inesa I. Toaca, Olga Stefanet, Angela Peltec. Artificial intelligence for detecting and quantifying steatotic liver diseasePublic Health, Economy and Management in Medicine 2024; (5(102)): 173 doi: 10.52556/2587-3873.2024.5(102).26
6
肖 林. Ultrasonic Detection of Myocardial Changes in Tumor Patients after Chemotherapy: Current Situation and ProspectAdvances in Clinical Medicine 2025; 15(03): 1397 doi: 10.12677/acm.2025.153755
7
Madalina Stan-Ilie, Vasile Sandru, Gabriel Constantinescu, Oana-Mihaela Plotogea, Ecaterina Mihaela Rinja, Iulia Florentina Tincu, Alexandra Jichitu, Adriana Elena Carasel, Andreea Cristina Butuc, Bogdan Popa. Artificial Intelligence—The Rising Star in the Field of Gastroenterology and HepatologyDiagnostics 2023; 13(4): 662 doi: 10.3390/diagnostics13040662
8
Jian-Jun Lou, Jing Zeng. Artificial intelligence applications for managing metabolic dysfunction-associated steatotic liver disease: Current status and future prospectsWorld Journal of Gastroenterology 2025; 31(47): 111900 doi: 10.3748/wjg.v31.i47.111900
9
Tongjuan Zou, Hao He, Jing Yang, You Wu, Cao Lv, Lican Zhao, Wanhong Yin. Artificial intelligence real-time automated recognition of the gastric antrum cross-sectional area and motility rhythm via bedside ultrasound: a pilot studyScientific Reports 2025; 15(1) doi: 10.1038/s41598-025-98974-1
10
Jie Zhang, Adrian Dawkins. Artificial Intelligence in Ultrasound Imaging: Where Are We Now?Ultrasound Quarterly 2024; 40(2): 93 doi: 10.1097/RUQ.0000000000000680
11
Shritik Devkota, Harish Bhujade, Naveen Kalra. Revolutionizing Liver Imaging: Artificial Intelligence–Driven Advances in Diagnostics and StagingJournal of Clinical and Experimental Hepatology 2026; 16(2): 103439 doi: 10.1016/j.jceh.2025.103439
12
Marinela-Cristiana Urhuț, Larisa Daniela Săndulescu, Costin Teodor Streba, Mădălin Mămuleanu, Adriana Ciocâlteu, Sergiu Marian Cazacu, Suzana Dănoiu. Diagnostic Performance of an Artificial Intelligence Model Based on Contrast-Enhanced Ultrasound in Patients with Liver Lesions: A Comparative Study with CliniciansDiagnostics 2023; 13(21): 3387 doi: 10.3390/diagnostics13213387
13
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
14
泽余 曹. Application of AI-Based Endoscopic Ultrasound in Gastrointestinal Stromal TumorsAdvances in Clinical Medicine 2025; 15(05): 987 doi: 10.12677/acm.2025.1551459
15
Venu M Ganipisetti. The emerging era of artificial intelligence and its role in GastroenterologyGastroenterology & Hepatology: Open access 2023; 14(2): 64 doi: 10.15406/ghoa.2023.14.00547
16
Huan Jiang, Liansong Ye, Xianglei Yuan, Qi Luo, Nuoya Zhou, Bing Hu. Endoscopic ultrasound-based artificial intelligence for gastrointestinal subepithelial lesionsEngMedicine 2025; 2(2): 100073 doi: 10.1016/j.engmed.2025.100073
17
Nicholas Viceconti, Silvia Andaloro, Mattia Paratore, Sara Miliani, Giulia D’Acunzo, Giuseppe Cerniglia, Fabrizio Mancuso, Elena Melita, Antonio Gasbarrini, Laura Riccardi, Matteo Garcovich. Harnessing artificial intelligence for the assessment of liver fibrosis and steatosis <i>via</i> multiparametric ultrasoundWorld Journal of Gastroenterology 2026; 32(2): 113059 doi: 10.3748/wjg.v32.i2.113059
18
Yasunari Matsuzaka, Ryu Yashiro. The Diagnostic Classification of the Pathological Image Using Computer VisionAlgorithms 2025; 18(2): 96 doi: 10.3390/a18020096
19
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
20
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