Latest AI and machine learning research in thyroid for healthcare professionals.
BACKGROUND: The presence of lateral lymph node metastases (LNM) in paediatric patients with papillar...
OBJECTIVE: To predict post-thyroidectomy complications in papillary thyroid microcarcinoma (PTMC) pa...
BACKGROUND: We aim to use Natural Language Processing to automate the extraction and classification ...
PURPOSE: Despite the rising incidence of differentiated thyroid cancer (DTC), mortality rates have r...
INTRODUCTION: The detection rate of benign thyroid nodules is increasing every year, with some affec...
INTRODUCTION: Artificial Intelligence (AI) has emerged as a promising tool in the delivery of health...
BACKGROUND: Postoperative hypoparathyroidism is a major complication of thyroidectomy, occurring whe...
Thyroid cancer is the most pervasive disease in the endocrine system and is getting extensive attent...
OBJECTIVES: To evaluate the efficacy of combining predictive artificial intelligence (AI) and image ...
OBJECTIVE: We used machine learning to develop and validate a multivariable algorithm allowing the a...
The incidence of thyroid cancer is increasing worldwide. Fine-needle aspiration (FNA) cytology is wi...
PURPOSE: Thyroid eye disease (TED) is the most common orbital disease in adults. Ocular motility res...
Genes, expressed as sequences of nucleotides, are susceptible to mutations, some of which can lead t...
Fluorescence polarization (Fpol) imaging of methylene blue (MB) is a promising quantitative approach...
BACKGROUND: This study is to propose a clinically applicable 2-echelon (2e) diagnostic criteria for ...
PURPOSE: To validate the performance of a recently created risk stratification system (RSS) for thyr...
BACKGROUND AND AIMS: The recurrence of papillary thyroid carcinoma (PTC) is not unusual and associat...
There is a growing body of evidence suggesting that Hashimoto's thyroiditis (HT) may contribute to a...
BACKGROUND: Data-driven digital learning could improve the diagnostic performance of novice students...
In this study, we employed various machine learning models to predict metabolic phenotypes, focusing...
OBJECTIVE: This study aims to investigate the factors affecting development of acute kidney injury (...