This study aimed to review the application of natural language processing (NLP) in thyroid-
related conditions and to summarize current challenges and potential future directions. We …

Context Use of artificial intelligence (AI) to predict clinical outcomes in thyroid nodule
diagnostics has grown exponentially over the past decade. The greatest challenge is in …

AI-assisted screening and prevention programs have the potential to revolutionize disease
management and improve public health outcomes. By harnessing the power of artificial …

Background: This study aimed to evaluate the clinical impact of an artificial intelligence (AI)-
based decision support system (DSS), Koios DS, on the analysis of ultrasound imaging and …

Autoimmune diseases arise when the immune system mistakenly attacks the body's own
tissues, leading to chronic inflammation and organ damage. These disorders are complex …

Artificial intelligence (AI) is becoming increasingly integral in clinical practice, such as during
imaging tasks associated with the diagnosis and evaluation of blunt chest trauma (BCT) …

This comprehensive review examines the current controversies regarding diagnosis and
management of intermediate risk differentiated thyroid cancer (DTC). The evolution of risk …

Objective Approximately 30% of thyroid nodules yield an indeterminate diagnosis through
conventional diagnostic strategies. The aim of this study was to develop machine learning …

Objective To address thyroid cancer overdiagnosis, we aim to develop a natural language
processing (NLP) algorithm to determine the appropriateness of thyroid ultrasounds (TUS) …

Abstract Background University Hospitals Dorset (UHD) has more than 1000 thyroid patient
contacts annually. These are primarily patients with autoimmune hyperthyroidism treated …