For: | Nagendra L, Pappachan JM, Fernandez CJ. Artificial intelligence in the diagnosis of thyroid cancer: Recent advances and future directions. Artif Intell Cancer 2023; 4(1): 1-10 [DOI: 10.35713/aic.v4.i1.1] |
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URL: | https://www.wjgnet.com/2644-3228/full/v4/i1/1.htm |
Number | Citing Articles |
1 |
I.A. Solovev. Artificial intelligence in pathological anatomy. Russian Journal of Archive of Patology 2024; 86(2): 65 doi: 10.17116/patol20248602165
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2 |
Bassam Abdul Rasool Hassan, Ali Haider Mohammed, Souheil Hallit, Diana Malaeb, Hassan Hosseini. Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook. Frontiers in Oncology 2025; 15 doi: 10.3389/fonc.2025.1475893
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3 |
Na Han, Rui Miao, Dongwei Chen, Jinrui Fan, Lin Chen, Siyao Yue, Tao Tan, Bowen Yang, Yapeng Wang. An Early Thyroid Screening Model Based on Transformer and Secondary Transfer Learning for Chest and Thyroid CT Images. Technology in Cancer Research & Treatment 2025; 24 doi: 10.1177/15330338251323168
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4 |
Elizabeth Clark, Samantha Price, Theresa Lucena, Bailey Haberlein, Abdullah Wahbeh, Raed Seetan. Predictive Analytics for Thyroid Cancer Recurrence: A Machine Learning Approach. Knowledge 2024; 4(4): 557 doi: 10.3390/knowledge4040029
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5 |
Alyssa Kuang, Valentina L. Kouznetsova, Santosh Kesari, Igor F. Tsigelny. Diagnostics of Thyroid Cancer Using Machine Learning and Metabolomics. Metabolites 2023; 14(1): 11 doi: 10.3390/metabo14010011
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