Endocrinology

Thyroid

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

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Human-AI collaboration for ultrasound diagnosis of thyroid nodules: a clinical trial.

PURPOSE: This clinical trial examined how the articifial intelligence (AI)-based diagnostics system ...

Age-stratified deep learning model for thyroid tumor classification: a multicenter diagnostic study.

OBJECTIVES: Thyroid cancer, the only cancer that uses age as a specific predictor of survival, is in...

ThyroNet-X4 genesis: an advanced deep learning model for auxiliary diagnosis of thyroid nodules' malignancy.

Thyroid nodules are a common endocrine condition, and accurate differentiation between benign and ma...

Artificial intelligence in surgery: evolution, trends, and future directions.

Artificial intelligence (AI) is significantly transforming surgery by enhancing precision, decision-...

Paradigms of intraoperative neuromonitoring in paediatric thyroid surgery.

The larynx of children and adolescents is still in the developmental phase and the anatomical struct...

A radiopathomics model for predicting large-number cervical lymph node metastasis in clinical N0 papillary thyroid carcinoma.

OBJECTIVES: This study aimed to develop a multimodal radiopathomics model utilising preoperative ult...

Machine Learning Model for Risk Stratification of Papillary Thyroid Carcinoma Based on Radiopathomics.

RATIONALE AND OBJECTIVES: This study aims to develop a radiopathomics model based on preoperative ul...

PREDICTORS OF TSH NORMALIZATION IN THYROTOXICOSIS PATIENTS AFTER TREATMENT.

CONTEXT: Understanding factors delaying recovery in thyrotoxicosis patients is crucial for optimizin...

Development of a Deep Learning Tool to Support the Assessment of Thyroid Follicular Cell Hypertrophy in the Rat.

Thyroid tissue is sensitive to the effects of endocrine disrupting substances, and this represents a...

DP-CLAM: A weakly supervised benign-malignant classification study based on dual-angle scanning ultrasound images of thyroid nodules.

In this paper, a two-stage task weakly supervised learning algorithm is proposed. It accurately achi...

Investigating factors influencing quality of life in thyroid eye disease: insight from machine learning approaches.

AIMS: Thyroid eye disease (TED) is an autoimmune orbital disorder that diminishes the quality of lif...

Multi-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound.

PURPOSE: Thyroid nodules are common, and ultrasound-based risk stratification using ACR's TIRADS cla...

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