… , and other challenging situations that arise when using TKIs in patients with thyroid cancer.
… The most common form of thyroid cancer, differentiated thyroid cancer (DTC), is derived …

Context: Medullary thyroid carcinoma (MTC) is diagnosed only after thyroidectomy in
approximately 10–15% of cases. This delay in diagnosis can have adverse consequences such as …

… In this article, we have presented a benchmark for a number of challenging tasks in
thyroid cancer diagnosis, including algorithms for prediction of the BRAF mutation status, …

… AI application in sonographic diagnosis of thyroid cancer. This … techniques available for
thyroid cancer diagnosis. With more … challenges of the field of sonographic diagnosis of thyroid …

… As part of the study, participants with recently diagnosed thyroid cancer were asked an
open-ended question over the telephone about any outcomes of their thyroid cancer diagnosis or …

… Finally, the machine learning framework used in this study can evaluate the quality of clinical
data for thyroid cancer diagnosis 33 . A machine learning model can be trained on datasets …

… We identified patients with newly diagnosed differentiated thyroid cancer (International …
implemented, decreasing small thyroid cancer incidence will be challenging, and female patients …

… and were additionally diagnosed with sarcoidosis were retrospectively identified. Eleven
out of 16 patients had papillary thyroid cancer (PTC), three had follicular thyroid cancer (FTC), …

… from Follicular thyroid cells to papillary thyroid cancer (PTC) or follicular thyroid cancer (FTC)
is … The use of circulating miRNA and other circulating biomarkers faces several challenges …

… The diagnosis of thyroid cancer relies on cervical ultrasound and fine-needle aspiration (FNA) …
Cytologic diagnosis of FLUS/AUS poses the most challenges for patient management. …