Diagnosis of thyroid nodules

EK Alexander, ES Cibas - The lancet Diabetes & endocrinology, 2022 - thelancet.com
Thyroid nodules are common, usually asymptomatic, and often pose minimal risk to the
affected patient. However, 10–15% prove malignant and serve as the rationale for …

Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives

NN Zhong, HQ Wang, XY Huang, ZZ Li, LM Cao… - Seminars in Cancer …, 2023 - Elsevier
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

Radiation-related genomic profile of papillary thyroid carcinoma after the Chernobyl accident

LM Morton, DM Karyadi, C Stewart, TI Bogdanova… - Science, 2021 - science.org
INTRODUCTION The 1986 Chernobyl (Chornobyl in Ukrainian) nuclear power plant
accident exposed millions of individuals in the surrounding region to radioactive …

Review of deep learning approaches for thyroid cancer diagnosis

S Anari, N Tataei Sarshar, N Mahjoori… - Mathematical …, 2022 - Wiley Online Library
Thyroid nodule is one of the common life‐threatening diseases, and it had an increasing
trend over the last years. Ultrasound imaging is a commonly used diagnostic method for …

Artificial intelligence for thyroid nodule characterization: where are we standing?

S Sorrenti, V Dolcetti, M Radzina, MI Bellini, F Frezza… - Cancers, 2022 - mdpi.com
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 …

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 …

[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 …

Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a …

T Zheng, F Lin, X Li, T Chu, J Gao, S Zhang, Z Li… - …, 2023 - thelancet.com
Background Breast cancer is the leading cause of cancer-related deaths in women.
However, accurate diagnosis of breast cancer using medical images heavily relies on the …

Artificial intelligence in thyroid ultrasound

CL Cao, QL Li, J Tong, LN Shi, WX Li, Y Xu… - Frontiers in …, 2023 - frontiersin.org
Artificial intelligence (AI), particularly deep learning (DL) algorithms, has demonstrated
remarkable progress in image-recognition tasks, enabling the automatic quantitative …

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 …