Artificial intelligence in diabetes mellitus and endocrine diseases—What can we expect?

IT Oikonomakos, C Steenblock… - Nature Reviews …, 2023 - nature.com
Artificial intelligence in diabetes mellitus and endocrine diseases — what can we expect? |
Nature Reviews Endocrinology Skip to main content Thank you for visiting nature.com. You are …

[HTML][HTML] A novel hybrid model to predict concomitant diseases for Hashimoto's thyroiditis

PK Ataş - BMC bioinformatics, 2023 - Springer
Hashimoto's thyroiditis is an autoimmune disorder characterized by the destruction of thyroid
cells through immune-mediated mechanisms involving cells and antibodies. The condition …

[HTML][HTML] Predicting central lymph node metastasis in patients with papillary thyroid carcinoma based on ultrasound radiomic and morphological features analysis

X Yan, X Mou, Y Yang, J Ren, X Zhou, Y Huang… - BMC Medical …, 2023 - Springer
Objectives To build a combined model based on the ultrasound radiomic and morphological
features, and evaluate its diagnostic performance for preoperative prediction of central …

[HTML][HTML] Recent advances in artificial intelligence-assisted endocrinology and diabetes

IT Oikonomakos, RM Anjana, V Mohan… - … of Endocrine and …, 2024 - explorationpub.com
Artificial intelligence (AI) has gained attention for various reasons in recent years,
surrounded by speculation, concerns, and expectations. Despite being developed since …

[HTML][HTML] Cervical lymph node metastasis prediction from papillary thyroid carcinoma US videos: a prospective multicenter study

MB Zhang, ZL Meng, Y Mao, X Jiang, N Xu, QH Xu… - BMC medicine, 2024 - Springer
Background Prediction of lymph node metastasis (LNM) is critical for individualized
management of papillary thyroid carcinoma (PTC) patients to avoid unnecessary …

[HTML][HTML] Applying machine-learning models to differentiate benign and malignant thyroid nodules classified as C-TIRADS 4 based on 2D-ultrasound combined with …

J Chen, YQ Zhang, T Zhu, Q Zhang, A Zhao… - Frontiers in …, 2024 - frontiersin.org
Objectives To apply machine learning to extract radiomics features from thyroid two-
dimensional ultrasound (2D-US) combined with contrast-enhanced ultrasound (CEUS) …

[HTML][HTML] Deep learning-assisted ultrasonic diagnosis of cervical lymph node metastasis of thyroid cancer: a retrospective study of 3059 patients

HN Zhao, H Yin, JY Liu, LL Song, YL Peng… - Frontiers in …, 2024 - frontiersin.org
Objective This study aimed to develop a deep learning system to identify and differentiate
the metastatic cervical lymph nodes (CLNs) of thyroid cancer. Methods From January 2014 …

Score based on contrast-enhanced ultrasound predict central lymph node metastasis in papillary thyroid cancer

L He, X Chen, J Hu, Y Meng, Y Zhang… - Frontiers in …, 2024 - frontiersin.org
Objectives To investigate the association between contrast-enhanced ultrasound (CEUS)
features of PTC and central lymph node metastasis (CLNM) and to develop a predictive …

Survival Analysis of Thyroid Cancer Patients Using Machine Learning Algorithms

SM Alhashmi, MSI Polash, A Haque, F Rabbe… - IEEE …, 2024 - ieeexplore.ieee.org
The medical community strives continually to improve the quality of care patients receive.
Predictions of prognosis are essential for doctors and patients to choose a course of …

[HTML][HTML] Predicting central cervical lymph node metastasis in papillary thyroid microcarcinoma using deep learning

Y Wang, HL Tan, SL Duan, N Li, L Ai, S Chang - PeerJ, 2024 - peerj.com
Background The aim of this study is to design a deep learning (DL) model to preoperatively
predict the occurrence of central lymph node metastasis (CLNM) in patients with papillary …