Latest AI and machine learning research in thyroid for healthcare professionals.
This study aimed to screen for thyroid dysfunction using Raman spectroscopy combined with an improve...
B-mode ultrasound (US) technology is an integral part of diagnosing and assessing risk stratificati...
Computer-aided diagnosis systems have been developed to assist doctors in diagnosing thyroid nodules...
Current classification systems for thyroid nodules are very subjective. Artificial intelligence (AI...
Many studies have shown the operative feasibility and safety of robotic thyroidectomy. However, the...
BACKGROUND: Relatives of patients with bladder cancer have been shown to be at increased risk for ki...
PURPOSE: This study aimed to validate a deep learning model's diagnostic performance in using comput...
Thyroid cancer is a disease in which the first symptom is a nodule in the thyroid region of the neck...
BACKGROUND: The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) comprises 6 categories ...
Thalassemia Major (TM) is a complex pathology that needs a highly skilled approach. Endocrine comor...
Management of thyroid nodules in the era of precision medicine is continuously changing. Neck ultras...
OBJECTIVE: The incidence of superficial organ diseases has increased rapidly in recent years. New me...
Thyroid nodules are a common clinical problem. Ultrasonography (US) is the main tool used to sensiti...
Ultrasound technology is becoming an integral part of diagnosing parathyroid adenomas. Careful ultra...
PURPOSE: In the case of multispecimen study to locate cancer regions, such as in thyroidectomy and p...
OBJECTIVE: Medullary thyroid carcinoma, a rare form of thyroid cancer, is typically managed with sur...
BACKGROUND: Radiofrequency (RF) is a therapeutic modality for reducing the volume of large benign th...
BACKGROUND: Computer-aided diagnosis (CAD) systems are being applied to the ultrasonographic diagnos...
Computer-aided diagnosis (CAD) systems hold potential to improve the diagnostic accuracy of thyroid ...
PURPOSE: To investigate the predictive capability of machine learning-based multiparametric magnetic...
The spectral fusion by Raman spectroscopy and Fourier infrared spectroscopy combined with pattern re...