Ludwig Maksymilian, Ludwig Bartłomiej, Mikuła Agnieszka, Biernat Szymon, Rudnicki Jerzy, Kaliszewski Krzysztof
Department of General, Minimally Invasive and Endocrine Surgery, Wroclaw Medical University, 50-556 Wroclaw, Poland.
Cancers (Basel). 2023 Jan 24;15(3):708. doi: 10.3390/cancers15030708.
The incidence of thyroid nodules diagnosed is increasing every year, leading to a greater risk of unnecessary procedures being performed or wrong diagnoses being made. In our paper, we present the latest knowledge on the use of artificial intelligence in diagnosing and classifying thyroid nodules. We particularly focus on the usefulness of artificial intelligence in ultrasonography for the diagnosis and characterization of pathology, as these are the two most developed fields. In our search of the latest innovations, we reviewed only the latest publications of specific types published from 2018 to 2022. We analyzed 930 papers in total, from which we selected 33 that were the most relevant to the topic of our work. In conclusion, there is great scope for the use of artificial intelligence in future thyroid nodule classification and diagnosis. In addition to the most typical uses of artificial intelligence in cancer differentiation, we identified several other novel applications of artificial intelligence during our review.
甲状腺结节的诊断发病率逐年上升，导致进行不必要手术或误诊的风险增加。在我们的论文中，我们介绍了人工智能在甲状腺结节诊断和分类中的最新知识。我们特别关注人工智能在超声检查中对病理诊断和特征描述的作用，因为这是两个发展最为成熟的领域。在寻找最新创新成果时，我们仅回顾了2018年至2022年发表的特定类型的最新出版物。我们总共分析了930篇论文，从中选出了33篇与我们工作主题最相关的论文。总之，人工智能在未来甲状腺结节分类和诊断中的应用前景广阔。除了人工智能在癌症鉴别中的最典型应用外，我们在综述过程中还发现了人工智能的其他一些新应用。
