Endocrinology

Thyroid

Latest AI and machine learning research in thyroid for healthcare professionals.

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Is Vitamin D Deficiency Associated with Chronic Lymphocytic Thyroiditis?

OBJECTIVES: Vitamin D deficiency is a very common global health problem. Evidence from recent studie...

The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions.

Since December 2019, the COVID-19 outbreak has resulted in countless deaths and has harmed all facet...

Alterations of Serum Leptin Levels in Patients with Autoimmune Thyroid Disorders.

Thyroid dysfunction is accompanied with significant metabolic alterations that affect body weight, ...

Deep learning-based ultrasonic dynamic video detection and segmentation of thyroid gland and its surrounding cervical soft tissues.

BACKGROUND: The prevalence of thyroid diseases has been increasing year by year. In this study, we e...

Automatic differentiation of thyroid scintigram by deep convolutional neural network: a dual center study.

BACKGROUND: Tc-pertechnetate thyroid scintigraphy is a valid complementary avenue for evaluating thy...

A deep learning-based method for detecting and classifying the ultrasound images of suspicious thyroid nodules.

PURPOSE: The incidence of thyroid cancer has significantly increased in the last few decades. Howeve...

Prognostic biomarkers for predicting papillary thyroid carcinoma patients at high risk using nine genes of apoptotic pathway.

Aberrant expressions of apoptotic genes have been associated with papillary thyroid carcinoma (PTC) ...

Machine intelligence in non-invasive endocrine cancer diagnostics.

Artificial intelligence (AI) has illuminated a clear path towards an evolving health-care system rep...

Single-port transaxillary robotic thyroidectomy (START): 200-cases with two-step retraction method.

BACKGROUND: This study aims to report the results of a pioneering clinical study using the single-po...

Quantifying the Impacts of Pre- and Post-Conception TSH Levels on Birth Outcomes: An Examination of Different Machine Learning Models.

BACKGROUND: While previous studies identified risk factors for diverse pregnancy outcomes, tradition...

Graves Disease Following Subacute Thyroiditis in a Chinese Man.

BACKGROUND/OBJECTIVE: The development of Graves disease (GD) after subacute thyroiditis (SAT) is rar...

Comparison of Perioperative Outcomes Using the da Vinci S, Si, X, and Xi Robotic Platforms for BABA Robotic Thyroidectomy.

: Robotic thyroidectomy via the bilateral axillo-breast approach (BABA), first introduced in Korea i...

Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei: A quantitative analysis.

When approaching thyroid gland tumor classification, the differentiation between samples with and wi...

Transoral robotic resection of a lingual thyroid: a novel treatment for obstructive sleep apnoea.

A 34-year-old woman with a history of congenital hypothyroidism and 15 years of obstructive sleep ap...

Weakly supervised learning on unannotated H&E-stained slides predicts BRAF mutation in thyroid cancer with high accuracy.

Deep neural networks (DNNs) that predict mutational status from H&E slides of cancers can enable ine...

Hyperthyroidism treatment by alternative therapies based on cupping and dietary-herbal supplementation: a case report.

OBJECTIVES: Hyperthyroidism is characterized by increasing production of thyroid hormone (TH) and de...

Application of Pet-CT Fusion Deep Learning Imaging in Precise Radiotherapy of Thyroid Cancer.

This article explores the value of wall F-FDG PET/Cr imaging in the diagnosis of thyroid cancer, stu...

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