Artificial intelligence in ultrasound
YT Shen, L Chen, WW Yue, HX Xu - European Journal of Radiology, 2021 - Elsevier
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Contemporary thyroid nodule evaluation and management
Context Approximately 60% of adults harbor 1 or more thyroid nodules. The possibility of
cancer is the overriding concern, but only about 5% prove to be malignant. The widespread …
cancer is the overriding concern, but only about 5% prove to be malignant. The widespread …
Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study
S Peng, Y Liu, W Lv, L Liu, Q Zhou, H Yang… - The Lancet Digital …, 2021 - thelancet.com
Background Strategies for integrating artificial intelligence (AI) into thyroid nodule
management require additional development and testing. We developed a deep-learning AI …
management require additional development and testing. We developed a deep-learning AI …
Artificial intelligence for thyroid nodule characterization: where are we standing?
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 …
artificial intelligence (AI) implementation for thyroid nodule characterization and cancer is …
Ultrasonography of superficial soft-tissue masses: society of radiologists in ultrasound consensus conference statement
JA Jacobson, WD Middleton, SJ Allison, N Dahiya… - Radiology, 2022 - pubs.rsna.org
The Society of Radiologists in Ultrasound convened a panel of specialists from radiology,
orthopedic surgery, and pathology to arrive at a consensus regarding the management of …
orthopedic surgery, and pathology to arrive at a consensus regarding the management of …
A generic deep learning framework to classify thyroid and breast lesions in ultrasound images
Breast and thyroid cancers are the two common cancers to affect women worldwide.
Ultrasonography (US) is a commonly used non-invasive imaging modality to detect breast …
Ultrasonography (US) is a commonly used non-invasive imaging modality to detect breast …
Performance of contrast-enhanced ultrasound in thyroid nodules: review of current state and future perspectives
M Radzina, M Ratniece, DS Putrins, L Saule… - Cancers, 2021 - mdpi.com
Simple Summary Ultrasound has been used as baseline imaging for thyroid nodules for
decades; nevertheless, no single feature is sensitive or specific enough to exclude or …
decades; nevertheless, no single feature is sensitive or specific enough to exclude or …
[HTML][HTML] Ai in thyroid cancer diagnosis: Techniques, trends, and future directions
Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …
offering advanced tools and methodologies that promise to revolutionize patient outcomes …
Machine intelligence in non-invasive endocrine cancer diagnostics
Artificial intelligence (AI) has illuminated a clear path towards an evolving health-care
system replete with enhanced precision and computing capabilities. Medical imaging …
system replete with enhanced precision and computing capabilities. Medical imaging …
Preoperative CT-based deep learning model for predicting disease-free survival in patients with lung adenocarcinomas
Background Deep learning models have the potential for lung cancer prognostication, but
model output as an independent prognostic factor must be validated with clinical risk factors …
model output as an independent prognostic factor must be validated with clinical risk factors …