Latest AI and machine learning research in thyroid for healthcare professionals.
BACKGROUND: In this paper, we examine whether machine learning and deep learning can be used to pred...
INTRODUCTION: According to the World Health Organization, the tall cell variant (TCV) is an aggressi...
Ultrasound (US) is an inexpensive and non-invasive technique for capturing the image of the thyroid ...
Thyroid volumetry is crucial in the diagnosis, treatment, and monitoring of thyroid diseases. Howeve...
BACKGROUND: This study aimed to introduce our robotic technique, which can minimize dissection exten...
Hashimoto's thyroiditis (HT) is the main cause of hypothyroidism. We develop a deep learning model c...
The eye is one of the most important organs of the human body. Eye diseases are closely related to o...
There are many thyroid diseases affecting people all over the world. Many diseases affect the thyroi...
OBJECTIVE: To define the conversion risk to open procedure during robot-assisted thyroid surgery (RA...
BACKGROUND: Thyroid cancer (THCA) is the most common endocrine malignancy and incidence is increasin...
Ultrasound imaging technology has the advantage of being convenient, less harmful and widely applied...
OBJECTIVES: We aimed to design a radiomics model for differential diagnosis of thyroid carcinoma bas...
Robotic systems for head and neck surgery are at different stages of technical development and clini...
Growing intrathoracic goiters may compress surrounding organs and deteriorate the cardiopulmonary fu...
In the last decade, robot-assisted trans-axillary thyroidectomy has spread rapidly and has been prov...
Accurate quantification of nerves in cancer specimens is important to understand cancer behaviour. T...
PURPOSE: To evaluate the feasibility of a 5G-based telerobotic ultrasound (US) system for thyroid ex...
Bisphenol AF (BPAF) is an emerging contaminant prevalent in the environment as one of main substitut...
Early detection of malignant thyroid nodules leading to patient-specific treatments can reduce morbi...
The aim of this study is to analyse the determinants of women's vaginal dryness using machine learni...
OBJECTIVE: Natural language processing (NLP) systems convert unstructured text into analyzable data....