Endocrinology

Thyroid

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

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Improved Diagnostic Accuracy of Thyroid Fine-Needle Aspiration Cytology with Artificial Intelligence Technology.

Artificial intelligence (AI) is increasingly being applied in pathology and cytology, showing promi...

Deep-Learning Based Automated Segmentation and Quantitative Volumetric Analysis of Orbital Muscle and Fat for Diagnosis of Thyroid Eye Disease.

PURPOSE: Thyroid eye disease (TED) is characterized by proliferation of orbital tissues and complica...

Bibliometric analysis of research trends and hotspots on robot-assisted thyroid surgery.

BACKGROUND: Thyroid surgery involves the partial or complete removal of the thyroid gland and is a f...

Using Natural Language Processing to Extract and Classify Symptoms Among Patients with Thyroid Dysfunction.

In the United States, more than 12% of the population will experience thyroid dysfunction. Patient s...

[CLINICAL EVALUATION OF THERAPEUTIC EFFECT PREDICTORS IN PEMBROLIZUMAB FOR ADVANCED UROTHELIAL CANCER].

(Purpose) We performed a clinical retrospective study on the evaluation of pembrolizumab treatment r...

[Artificial intelligence in ultrasound diagnosis of thyroid nodules].

OBJECTIVE: To analyze the efficacy of the S-Detect AI system of the Samsung RS85 ultrasound scanner ...

Corrigendum to: Super-resolution based Nodule Localization in Thyroid Ultrasound Images through Deep Learning.

The funding details have been incorporated upon author's request in the funding section of this arti...

A novel maternal thyroid disease prediction using multi-scale vision transformer architecture with improved linguistic hedges neural-fuzzy classifier.

BACKGROUND: Early pregnancy thyroid function assessment in mothers is covered. The benefits of using...

Super-resolution based Nodule Localization in Thyroid Ultrasound Images through Deep Learning.

BACKGROUND: Currently, it is difficult to find a solution to the inverse inappropriate problem, whic...

A hybrid thyroid tumor type classification system using feature fusion, multilayer perceptron and bonobo optimization.

BACKGROUND: Thyroid tumor is considered to be a very rare form of cancer. But recent researches and ...

The Application of Artificial Intelligence in Thyroid Nodules: A Systematic Review Based on Bibliometric Analysis.

BACKGROUND: Thyroid nodules are common lesions in benign and malignant thyroid diseases. More and mo...

ThyroidNet: A Deep Learning Network for Localization and Classification of Thyroid Nodules.

AIM: This study aims to establish an artificial intelligence model, ThyroidNet, to diagnose thyroid ...

ChatGPT-assisted deep learning model for thyroid nodule analysis: beyond artifical intelligence.

AIMS: To develop a deep learning model, with the aid of ChatGPT, for thyroid nodules, utilizing ultr...

[Review on ultrasonographic diagnosis of thyroid diseases based on deep learning].

In recent years, the incidence of thyroid diseases has increased significantly and ultrasound examin...

Deep-Learning-Based Screening and Ancillary Testing for Thyroid Cytopathology.

Thyroid cancer is the most common malignant endocrine tumor. The key test to assess preoperative ris...

[Clinical study of bilateral axillo-breast approach robot in obese women with thyroid cancer].

To explore the safety and feasibility of bilateral axillo-breast approach (BABA) robot in the operat...

Evaluation of voice function after BABA robotic thyroid lobectomy: A comparative analysis with endoscopic thyroid lobectomy.

The purpose of this study was to compare the effect of robotic thyroid lobectomy via Bilateral Axlio...

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