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Thyroid Gland

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

Thyroid : official journal of the American Thyroid Association
Artificial intelligence (AI) is increasingly being applied in pathology and cytology, showing promising results. We collected a large dataset of whole slide images (WSIs) of thyroid fine-needle aspiration cytology (FNA), incorporating z-stacking, fr...

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

Medicine
BACKGROUND: Thyroid surgery involves the partial or complete removal of the thyroid gland and is a frequently performed surgical procedure. The adoption of robots, equipped with flexible and stable operating systems, has garnered acceptance among num...

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

Studies in health technology and informatics
In the United States, more than 12% of the population will experience thyroid dysfunction. Patient symptoms often reported with thyroid dysfunction include fatigue and weight change. However, little is understood about the relationship between these ...

[Artificial intelligence in ultrasound diagnosis of thyroid nodules].

Khirurgiia
OBJECTIVE: To analyze the efficacy of the S-Detect AI system of the Samsung RS85 ultrasound scanner (South Korea) in stratifying thyroid nodules compared to data obtained by specialist of ultrasound diagnostics.

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

Current medical imaging
The funding details have been incorporated upon author's request in the funding section of this articles entitled "Superresolution based Nodule Localization in Thyroid Ultrasound Images through Deep Learning," 2024, 20, e15734056269264 [1]. The origi...

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

Current medical imaging
BACKGROUND: Currently, it is difficult to find a solution to the inverse inappropriate problem, which involves restoring a high-resolution image from a lowresolution image contained within a single image. In nature photography, one can capture a wide...

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

Journal of X-ray science and technology
BACKGROUND: Thyroid tumor is considered to be a very rare form of cancer. But recent researches and surveys highlight the fact that it is becoming prevalent these days because of various factors.

Diseased thyroid tissue classification in OCT images using deep learning: Towards surgical decision support.

Journal of biophotonics
Intraoperative guidance tools for thyroid surgery based on optical coherence tomography (OCT) could aid distinguish between normal and diseased tissue. However, OCT images are difficult to interpret, thus, real-time automatic analysis could support t...

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

Medicine
The purpose of this study was to compare the effect of robotic thyroid lobectomy via Bilateral Axlio-Breast Approach (BABA) and endoscopic thyroid lobectomy on the voice function. A total of 125 patients with thyroid cancer from March 2021 to July 20...

Conversion rates in robotic thyroid surgery: A systematic review and meta-analysis.

The international journal of medical robotics + computer assisted surgery : MRCAS
OBJECTIVE: To define the conversion risk to open procedure during robot-assisted thyroid surgery (RATS) identifying potential specific subclasses of procedures or accesses at higher conversion risk.