Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …

Thyroid cancers (TC) have increasingly been detected following advances in diagnostic
methods. Risk stratification guided by refined information becomes a crucial step toward the …

Artificial intelligence (AI), particularly deep learning (DL) algorithms, has demonstrated
remarkable progress in image-recognition tasks, enabling the automatic quantitative …

Simple Summary The incidence of thyroid pathologies has been increasing worldwide.
Historically, the detection of thyroid neoplasms relies on medical imaging analysis …

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 …

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: The use of artificial intelligence (AI) in health care has grown exponentially with
the promise of facilitating biomedical research and enhancing diagnosis, treatment …

Ultrasonography (US) is the primary diagnostic tool used to assess the risk of malignancy
and to inform decision-making regarding the use of fine-needle aspiration (FNA) and post …

Artificial intelligence (AI) has illuminated a clear path towards an evolving health-care
system replete with enhanced precision and computing capabilities. Medical imaging …

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 …