AIMC Topic: Thyroid Nodule
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Attention-based image segmentation and classification model for the preoperative risk stratification of thyroid nodules.
World journal of surgery
Dec 29, 2024
BACKGROUND: Despite widespread use of standardized classification systems, risk stratification of thyroid nodules is nuanced and often requires diagnostic surgery. Genomic sequencing is available for this dilemma however, costs and access restricts g...
Enhancing Thyroid Pathology With Artificial Intelligence: Automated Data Extraction From Electronic Health Reports Using RUBY.
JCO clinical cancer informatics
Dec 10, 2024
PURPOSE: Thyroid nodules are common in the general population, and assessing their malignancy risk is the initial step in care. Surgical exploration remains the sole definitive option for indeterminate nodules. Extensive database access is crucial fo...
The added value of including thyroid nodule features into large language models for automatic ACR TI-RADS classification based on ultrasound reports.
Japanese journal of radiology
Nov 25, 2024
OBJECTIVE: The ACR Thyroid Imaging, Reporting, and Data System (TI-RADS) uses a score based on ultrasound (US) imaging to stratify the risk of nodule malignancy and recommend appropriate follow-up. This study aims to analyze US reports and explore ho...
An ultrasonography of thyroid nodules dataset with pathological diagnosis annotation for deep learning.
Scientific data
Nov 23, 2024
Ultrasonography (US) of thyroid nodules is often time consuming and may be inconsistent between observers, with a low positivity rate for malignancy in biopsies. Even after determining the ultrasound Thyroid Imaging Reporting and Data System (TIRADS)...
TIRADS-based artificial intelligence systems for ultrasound images of thyroid nodules: protocol for a systematic review.
Journal of ultrasound
Nov 20, 2024
PURPOSE: The thyroid imaging reporting and data system (TIRADS) was developed as a standard global term to describe thyroid nodule risk features, aiming to address issues such as variability and low reproducibility in nodule feature detection and int...
The study on ultrasound image classification using a dual-branch model based on Resnet50 guided by U-net segmentation results.
BMC medical imaging
Nov 18, 2024
In recent years, the incidence of nodular thyroid diseases has been increasing annually. Ultrasonography has become a routine diagnostic tool for thyroid nodules due to its high real-time capabilities and low invasiveness. However, thyroid images obt...
Artificial intelligence-enhanced infrared thermography as a diagnostic tool for thyroid malignancy detection.
Annals of medicine
Nov 8, 2024
INTRODUCTION: Thyroid nodules are common, and investigation is crucial for excluding malignancy. Increased intranodular vascularity is frequently observed in malignant tumors, which can be detected through increased skin surface temperatures using no...
Optimizing thyroid AUS nodules malignancy prediction: a comprehensive study of logistic regression and machine learning models.
Frontiers in endocrinology
Nov 6, 2024
BACKGROUND: The accurate diagnosis of thyroid nodules with indeterminate cytology, particularly in the atypia of undetermined significance (AUS) category, remains challenging. This study aims to predict the risk of malignancy in AUS nodules by compar...
Assessment of the Diagnostic Performance of a Commercially Available Artificial Intelligence Algorithm for Risk Stratification of Thyroid Nodules on Ultrasound.
Thyroid : official journal of the American Thyroid Association
Oct 15, 2024
Thyroid nodules are challenging to accurately characterize on ultrasound (US), though the emergence of risk stratification systems and more recently artificial intelligence (AI) algorithms has improved nodule classification. The purpose of this stud...
Avoidable biopsies? Validating artificial intelligence-based decision support software in indeterminate thyroid nodules.
Surgery
Oct 12, 2024
BACKGROUND: Multiple artificial intelligence (AI) systems have been approved to risk-stratify thyroid nodules through sonographic characterization. We sought to validate the ability of one such AI system, Koios DS (Koios Medical, Chicago, IL), to aid...
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