Yixing Lu, Bin Zhang. Application of artificial intelligence based on deep learning in the diagnosis of thyroid cancer[J]. Int J Radiat Med Nucl Med, 2022, 46(12): 760-764. DOI: 10.3760/cma.j.cn121381-202203024-00243
Citation: Yixing Lu, Bin Zhang. Application of artificial intelligence based on deep learning in the diagnosis of thyroid cancer[J]. Int J Radiat Med Nucl Med, 2022, 46(12): 760-764. DOI: 10.3760/cma.j.cn121381-202203024-00243

Application of artificial intelligence based on deep learning in the diagnosis of thyroid cancer

  • In recent years, the morbidity of thyroid cancer is increasing, and the metastasis of thyroid cancer is also growing, so the early diagnosis and treatment of thyroid cancer and distant metastasis are important methods to reduce mortality. Artificial intelligence(AI), as an emerging science and technology, is developing rapidly. The combination of AI and the medical field can provide an auxiliary role for the early diagnosis of thyroid cancer. This review focuses on the progress of AI based on deep learning for ultrasound images, fine needle puncture cytology, histopathology and lymphatic metastasis in the diagnosis of thyroid cancer. Furthermore, we provide guidance for the future application of AI in relation to thyroid cancer.
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