[HTML][HTML] Machine intelligence in non-invasive endocrine cancer diagnostics

NM Thomasian, IR Kamel, HX Bai - Nature Reviews Endocrinology, 2022 - nature.com
Artificial intelligence (AI) has illuminated a clear path towards an evolving health-care
system replete with enhanced precision and computing capabilities. Medical imaging …

[HTML][HTML] Ai in thyroid cancer diagnosis: Techniques, trends, and future directions

Y Habchi, Y Himeur, H Kheddar, A Boukabou, S Atalla… - Systems, 2023 - mdpi.com
Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …

[HTML][HTML] Artificial intelligence in thyroid field—a comprehensive review

F Bini, A Pica, L Azzimonti, A Giusti, L Ruinelli… - Cancers, 2021 - mdpi.com
Simple Summary The incidence of thyroid pathologies has been increasing worldwide.
Historically, the detection of thyroid neoplasms relies on medical imaging analysis …

[HTML][HTML] Artificial intelligence in thyroid ultrasound

CL Cao, QL Li, J Tong, LN Shi, WX Li, Y Xu… - Frontiers in …, 2023 - frontiersin.org
Objective: Artificial intelligence (AI) has made remarkable progress in thyroid ultrasound
image recognition. The research on AI recognition of thyroid ultrasound images has been …

Artificial intelligence in thyroidology: a narrative review of the current applications, associated challenges, and future directions

D Toro-Tobon, R Loor-Torres, M Duran, JW Fan… - Thyroid, 2023 - liebertpub.com
Background: The use of artificial intelligence (AI) in health care has grown exponentially with
the promise of facilitating biomedical research and enhancing diagnosis, treatment …

[HTML][HTML] Decoding the molecular subtypes of breast cancer seen on multimodal ultrasound images using an assembled convolutional neural network model: A …

BY Zhou, LF Wang, HH Yin, TF Wu, TT Ren, C Peng… - …, 2021 - thelancet.com
Background Preoperative determination of breast cancer molecular subtypes facilitates
individualized treatment plan-making and improves patient prognosis. We aimed to develop …

[HTML][HTML] Radiomics in differentiated thyroid cancer and nodules: explorations, application, and limitations

Y Cao, X Zhong, W Diao, J Mu, Y Cheng, Z Jia - Cancers, 2021 - mdpi.com
Simple Summary Differentiated thyroid cancer (DTC) is the most common endocrine
malignancy with a high incidence rate in females. The COVID-19 epidemic posed an …

[HTML][HTML] Artificial intelligence for personalized medicine in thyroid cancer: current status and future perspectives

LR Li, B Du, HQ Liu, C Chen - Frontiers in Oncology, 2021 - frontiersin.org
Thyroid cancers (TC) have increasingly been detected following advances in diagnostic
methods. Risk stratification guided by refined information becomes a crucial step toward the …

Development of artificial intelligence for parathyroid recognition during endoscopic thyroid surgery

B Wang, J Zheng, JF Yu, SY Lin, SY Yan… - The …, 2022 - Wiley Online Library
Objective We aimed to establish an artificial intelligence (AI) model to identify parathyroid
glands during endoscopic approaches and compare it with senior and junior surgeons' …

A novel approach to quantify calcifications of thyroid nodules in US images based on deep learning: predicting the risk of cervical lymph node metastasis in papillary …

J Wang, C Dong, Y Zhang, L Wang, X Yuan, M He… - European …, 2023 - Springer
Objective Based on ultrasound (US) images, this study aimed to detect and quantify
calcifications of thyroid nodules, which are regarded as one of the most important features in …