Papillary thyroid carcinoma (PTC), the predominant pathological type among thyroid
malignancies, is responsible for the sharp increase in thyroid cancer. Although PTC is an …

Artificial intelligence (AI) is an umbrella term that broadly encompasses a wide array of
computational methodologies from traditional statistical inferences such as linear regression …

Objective This study aimed to develop a deep learning system to identify and differentiate
the metastatic cervical lymph nodes (CLNs) of thyroid cancer. Methods From January 2014 …

Methods We searched for English-language articles published between April 2018 and
September 2023 in the databases of PubMed, Web of Science, and Google Scholar. The …

Objective To develop a ultrasound images based dual-channel deep learning model to
achieve accurate early diagnosis of thyroid nodules less than 1 cm. Methods A dual-channel …

Background Thyroid cancer (TC) prone to cervical lymph node (CLN) metastasis both before
and after surgery. Ultrasonography (US) is the first-line imaging method for evaluating the …

Objective Lymph node metastasis (LNM) and capsular invasion (CI) are the main
pathological features leading to poor prognosis of differentiated thyroid cancer (DTC), and …

Industry 4.0 brought a lot of changes into every-day's life. Connecting new technologies like
artificial intelligence and advanced robotics with medicine, human sciences, etc. not only …

Due to the poor sensitivity of ultrasound and enhanced CT, the unreliability of clinical lymph
node-negative (cN0) has become a consensus. It is still controversial whether to perform …