Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

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 …

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) …

The use of artificial intelligence approaches in health-care systems has grown rapidly over
the last few years. In this context, early detection of diseases is the most common area of …

Artificial intelligence (AI) methods for evaluating thyroid nodules on ultrasound have been
widely described in the literature, with reported performance of AI tools matching or in some …

Due to the development of Artificial Intelligence (AI), Machine Learning (ML), and the
improvement of medical imaging equipment, radiomics has become a popular research in …

Background and aims The recurrence of papillary thyroid carcinoma (PTC) is not unusual
and associated with risk of death. This study is aimed to construct a nomogram that …

Thyroid illness encompasses a range of disorders affecting the thyroid gland, leading to
either hyperthyroidism or hypothyroidism, which can significantly impact metabolism and …

In this study, we employed various machine learning models to predict metabolic
phenotypes, focusing on thyroid function, using a dataset from the National Health and …

Background Artificial intelligence algorithms could be used to risk-stratify thyroid nodules
and may reduce the subjectivity of ultrasonography. One such algorithm is AIBx which has …