Objectives This study evaluated the diagnostic value of artificial intelligence‐assistant
diagnostic system combined with contrast‐enhanced ultrasound in The American College of …

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 …

Objectives The aim of this study was to compare the value of the AI‐SONIC ultrasound‐
assisted diagnosis system versus contrast‐enhanced ultrasound (CEUS) for differential …

Background: An initial clinical assessment is described of a new, commercially available,
computer-aided diagnosis (CAD) system using artificial intelligence (AI) for thyroid …

Aims: The purpose of this paper is to prospectively evaluate the performance of an artificial
intelligence (AI) system in diagnosing thyroid nodules and to assess its potential value in …

Objective To determine if the artificial intelligence‐based Thyroid Imaging, Reporting and
Data System (AI TIRADS) would perform better than the American College of Radiology …

Background Thyroid nodules are commonly identified through ultrasound imaging, which
plays a crucial role in the early detection of malignancy. The diagnostic accuracy, however …

BACKGROUND AND PURPOSE: Artificial intelligence-based computer-aided diagnostic
systems have been introduced for thyroid cancer diagnosis. Our aim was to compare the …

Objective: To compare the diagnostic efficacy and ability of Thyroid Imaging Reporting Data
System version (TI-RADS) of American College of Radiology (ACR) and artificial intelligence …

Background Ultrasound is widely used for detecting thyroid nodules in clinical practice. This
retrospective study aimed to assess the diagnostic efficacy of the American College of …