AIMC Topic: Thyroid Cancer, Papillary
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Prognostic Models Using Machine Learning Algorithms and Treatment Outcomes of Papillary Thyroid Carcinoma Variants.
Cancer reports (Hoboken, N.J.)
Dec 1, 2024
BACKGROUND: Hürthle cell (HCC) and columnar cell variants (CCV) are rare subtypes of thyroid cancer.
[Preoperative Evaluation of Cervical Lymph Node Metastasis in Patients With Hashimoto's Thyroiditis Combined With Thyroid Papillary Carcinoma Using Machine Learning and Radiomics-Based Features: A Preliminary Study].
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
Jul 20, 2024
OBJECTIVE: To analyze the radiomic and clinical features extracted from 2D ultrasound images of thyroid tumors in patients with Hashimoto's thyroiditis (HT) combined with papillary thyroid carcinoma (PTC) using machine learning (ML) models, and to ex...
Improved Diagnostic Accuracy of Thyroid Fine-Needle Aspiration Cytology with Artificial Intelligence Technology.
Thyroid : official journal of the American Thyroid Association
Jun 1, 2024
Artificial intelligence (AI) is increasingly being applied in pathology and cytology, showing promising results. We collected a large dataset of whole slide images (WSIs) of thyroid fine-needle aspiration cytology (FNA), incorporating z-stacking, fr...
Machine learning on thyroid disease: a review.
Frontiers in bioscience (Landmark edition)
Mar 16, 2022
This study reviews the recent progress of machine learning for the early diagnosis of thyroid disease. Based on the results of this review, different machine learning methods would be appropriate for different types of data for the early diagnosis of...
Whole-Slide Imaging: Updates and Applications in Papillary Thyroid Carcinoma.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2022
Whole-slide imaging (WSI) has wide spectrum of application in histopathology, especially in the study of cancer including papillary thyroid carcinoma. The main applications of WSI system include research, teaching, and assessment and recently patholo...
[A Thyroid Ultrasound Image-based Artificial Intelligence Model for Diagnosis of Central Compartment Lymph Node Metastasis in Papillary Thyroid Carcinoma].
Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae
Dec 30, 2021
Objective To establish an artificial intelligence model based on B-mode thyroid ultrasound images to predict central compartment lymph node metastasis(CLNM)in patients with papillary thyroid carcinoma(PTC). Methods We retrieved the clinical manifesta...
New approach of prediction of recurrence in thyroid cancer patients using machine learning.
Medicine
Oct 22, 2021
Although papillary thyroid cancers are known to have a relatively low risk of recurrence, several factors are associated with a higher risk of recurrence, such as extrathyroidal extension, nodal metastasis, and BRAF gene mutation. However, predicting...
Adult
Male
Middle Aged
Thyroidectomy
Thyroid Neoplasms
Body Mass Index
Lymphatic Metastasis
Female
Humans
Reproducibility of Results
Aged
Young Adult
Machine Learning
Algorithms
Prognosis
Proto-Oncogene Proteins B-raf
Sex Factors
Age Factors
Tumor Burden
Neoplasm Recurrence, Local
Thyroglobulin
Iodine Radioisotopes
Thyroid Cancer, Papillary
Highly accurate diagnosis of papillary thyroid carcinomas based on personalized pathways coupled with machine learning.
Briefings in bioinformatics
Jul 20, 2021
Thyroid nodules are neoplasms commonly found among adults, with papillary thyroid carcinoma (PTC) being the most prevalent malignancy. However, current diagnostic methods often subject patients to unnecessary surgical burden. In this study, we develo...
The Learning Curve for Robotic Thyroidectomy Using a Bilateral Axillo-Breast Approach From the 100 Cases.
Surgical laparoscopy, endoscopy & percutaneous techniques
Oct 1, 2015
PURPOSE: The purpose of this study was to examine the learning curve for robotic thyroidectomy using a bilateral axillo-breast approach.
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