Artificial intelligence (AI) is assuming a central role in anatomic pathology for ancillary
diagnosis in histology and cytology. AI techniques can analyse large amounts of data and …

Simple Summary In the present review, an up-to-date summary of the state of the art of
artificial intelligence (AI) implementation for thyroid nodule characterization and cancer is …

Because of the coronavirus disease 2019 pandemic, the joint session between the
European Society of Pathology Working Groups of Endocrine Pathology and Cytopathology …

Objective Thyroid pathology has great potential for automated/artificial intelligence algorithm
application as the incidence of thyroid nodules is increasing and the indeterminate …

Background: From cell phones to aerospace, artificial intelligence (AI) has wide-reaching
influence in the modern age. In this review, we discuss the application of AI solutions to an …

Objectives Artificial intelligence (AI) systems can diagnose thyroid nodules with similar or
better performance than radiologists. Little is known about how this performance compares …

Simple Summary Thyroid nodules are commonly detected in daily clinical practice, and their
diagnosis and therapy usually involve different specialists and various diagnostic and …

The 2023, 3rd edition of the Bethesda System for Reporting Thyroid Cytopathology
(TBSRTC) is an updated version of the widely used system for reporting thyroid fine-needle …

The diagnosis and management of thyroid cancer is fraught with challenges despite the
advent of innovative diagnostic, surgical, and chemotherapeutic modalities. Challenges like …

Ruling out malignancy in thyroid nodules historically depended on thyroid resection and
histopathological evaluation until fine needle aspiration (FNA) biopsy was introduced into …