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 …

[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 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 …

Updates on the management of thyroid cancer

KA Araque, S Gubbi… - Hormone and …, 2020 - thieme-connect.com
The diagnostic modalities, stratification tools, and treatment options for patients with thyroid
cancer have rapidly evolved since the development of the American Thyroid Association …

Classification for thyroid nodule using ViT with contrastive learning in ultrasound images

J Sun, B Wu, T Zhao, L Gao, K **e, T Lin, J Sui… - Computers in biology …, 2023 - Elsevier
The lack of representative features between benign nodules, especially level 3 of Thyroid
Imaging Reporting and Data System (TI-RADS), and malignant nodules limits diagnostic …

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] AI applications in robotics, diagnostic image analysis and precision medicine: Current limitations, future trends, guidelines on CAD systems for medicine

T Habuza, AN Navaz, F Hashim, F Alnajjar… - Informatics in Medicine …, 2021 - Elsevier
Background AI in healthcare has been recognized by both academia and industry in
revolutionizing how healthcare services will be offered by healthcare service providers and …

Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records

M Wang, Z Wei, M Jia, L Chen, H Ji - BMC medical informatics and …, 2022 - Springer
Purpose Predictively diagnosing infectious diseases helps in providing better treatment and
enhances the prevention and control of such diseases. This study uses actual data from a …

Update on ACR TI-RADS: Successes, Challenges, and Future Directions, From the AJR Special Series on Radiology Reporting and Data Systems

JK Hoang, WD Middleton, FN Tessler - American Journal of …, 2021 - ajronline.org
The American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-
RADS) is an ultrasound-based risk stratification system (RSS) for thyroid nodules that was …

The ultrasound risk stratification systems for thyroid nodule have been evaluated against papillary carcinoma. A meta-analysis

P Trimboli, M Castellana, A Piccardo… - Reviews in Endocrine …, 2021 - Springer
Thyroid imaging reporting and data systems (TIRADS) are used to stratify the malignancy
risk of thyroid nodule by ultrasound (US) examination. We conducted a meta-analysis to …