Diagnostic performance of artificial intelligence in interpreting thyroid nodules on ultrasound images: a multicenter retrospective study.

Pawitchaya NamsenaDittapong SongsaengChadaporn KeatmaneeSongphon KlabwongAlisa KunapinunSunsiree SoodchuenThipthara TarathipayakulWasu TanasoontraratMongkol EkpanyapongMatthew N Dailey

Published in: Quantitative imaging in medicine and surgery (2024)

The findings advocate for the integration of AI into clinical settings to enhance the diagnostic accuracy of radiologists in assessing thyroid nodules. The AI system, designed as a supportive tool rather than a replacement, promises to revolutionize thyroid nodule diagnosis and management by providing a high level of diagnostic precision.

Keyphrases

artificial intelligence
deep learning
machine learning
big data
convolutional neural network
magnetic resonance imaging
cross sectional
optical coherence tomography
clinical trial
computed tomography