The past 5–10 years have brought in a new era in the care of patients with thyroid cancer,
with the introduction of transformative diagnostic and management options. Several …

Background: Artificial intelligence (AI) is broadly defined as the ability of machines to apply
human-like reasoning to problem solving. Recent years have seen a rapid growth of AI in …

Background: Active surveillance (AS) is an alternative to thyroidectomy for the management
of low-risk papillary thyroid microcarcinoma (PTMC). However, prospective AS data …

Simple Summary The aim of this review is to provide a general overview about the
molecular markers (mutations and alterations) of thyroid cancers, present several molecular …

Multiple US-based systems for risk stratification of thyroid nodules are in use worldwide.
Unfortunately, the malignancy probability assigned to a nodule varies, and terms and …

Ultrasonography (US) is a primary imaging modality for diagnosing nodular thyroid disease
and has an essential role in identifying the most appropriate management strategy for …

Context It is not clear how to integrate artificial intelligence (AI)-based models into diagnostic
workflows. Objective To develop and validate a deep-learning–based AI model (AI-Thyroid) …

Objective Thyroid nodule ultrasound characteristics are used as an indication for fine-needle
aspiration cytology, usually as the basis for Thyroid Imaging Reporting and Data System …

Objective To evaluate the computed tomography (CT) features for diagnosing metastatic
cervical lymph nodes (LNs) in patients with differentiated thyroid cancer (DTC) and validate …

Background This study investigated the diagnostic performance of biopsy criteria in four
society ultrasonography risk stratification systems (RSSs) for thyroid nodules, including the …