Pawitchaya Namsena, Dittapong Songsaeng, Chadaporn Keatmanee, Songphon Klabwong, Alisa Kunapinun, Sunsiree Soodchuen, Thipthara Tarathipayakul, Wasu Tanasoontrarat, Mongkol Ekpanyapong, Matthew N Dailey
BACKGROUND: Thyroid nodules are commonly identified through ultrasound imaging, which plays a crucial role in the early detection of malignancy. The diagnostic accuracy, however, is significantly influenced by the expertise of radiologists, the quality of equipment, and image acquisition techniques. This variability underscores the critical need for computational tools that support diagnosis. METHODS: This retrospective study evaluates an artificial intelligence (AI)-driven system for thyroid nodule assessment, integrating clinical practices from multiple prominent Thai medical centers...
May 1, 2024: Quantitative Imaging in Medicine and Surgery