Latest AI and machine learning research in thyroid for healthcare professionals.
Thyroid nodule malignancy assessment relies on ultrasound imaging, yet current risk stratification s...
Thyroid nodules affect a large proportion of the general population. Although most are benign, a non...
Background & Problem: Thyroid Fine-Needle Aspiration Biopsy (FNAB) cytology based on the Bethesda Sy...
Treatment toxicity constrains the use of effective cancer therapies, but its clinical and genetic de...
Language models for cancer clinical reports carry two blind spots. They read each report in isolatio...
Background and Objective: Early and reliable disease prediction from structured clinical data remain...
Ultrasound is the primary imaging modality for assessing thyroid nodules, and the ACR TI-RADS framew...
Thyroid ultrasound diagnosis requires coordinated lesion localization, measurement, risk stratificat...
Background: Deep learning models can classify thyroid nodules on ultrasound, but reliable clinical d...
Deep learning (DL) methods dominate thyroid nodule segmentation in ultrasound (US) images, achieving...
Convolutional neural networks (CNNs) can classify thyroid nodules on ultrasound, yet published model...
Background The European Association for the Study of the Liver (ESAL) - Steatotic Liver Disease (SLD...
Thyroid cancer is a heterogeneous malignancy with variable outcomes, highlighting the need for relia...
Neonates requiring intensive care are at increased risk for long-term neuropsychiatric disorders. Ho...
Thyroid nodule classification using ultrasound imaging is essential for early diagnosis and clinical...
Thyroid ultrasound is the first-line exam for assessing thyroid nodules and determining whether biop...
Thyroid ultrasound (US) automation couples two competing requirements: global, geometry-driven reaso...
Thyroid carcinoma is one of the most prevalent endocrine malignancies worldwide, and accurate preope...
Handheld ultrasound devices have revolutionized point-of-care diagnostics, but their effectiveness r...
Transcription factors recognise and bind specific DNA sequence patterns in promoters and enhancers t...
Introduction: Deep learning-based segmentation models are increasingly integrated into clinical imag...