AIMC Topic: Thyroid Neoplasms

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Pathology diagnosis of intraoperative frozen thyroid lesions assisted by deep learning.

BMC cancer Aug 29, 2024
BACKGROUND: Thyroid cancer is a common thyroid malignancy. The majority of thyroid lesion needs intraoperative frozen pathology diagnosis, which provides important information for precision operation. As digital whole slide images (WSIs) develop, dee...
Intraoperative Period Carcinoma, Neuroendocrine Adenocarcinoma, Follicular Carcinoma, Papillary Thyroid Cancer, Papillary Frozen Sections Deep Learning Thyroid Gland Thyroid Neoplasms Thyroid Carcinoma, Anaplastic Adult Male Middle Aged Humans Female
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Prediction model for lateral lymph node metastasis of papillary thyroid carcinoma in children and adolescents based on ultrasound imaging and clinical features: a retrospective study.

BMC medical imaging Aug 29, 2024
BACKGROUND: The presence of lateral lymph node metastases (LNM) in paediatric patients with papillary thyroid cancer (PTC) is an independent risk factor for recurrence. We aimed to identify risk factors and establish a prediction model for lateral LN...
Reference Values Thyroid Cancer, Papillary Predictive Learning Models Humans Thyroid Neoplasms Young Adult Lymphatic Metastasis Retrospective Studies Ultrasonography Male Regression Analysis ROC Curve Female Risk Assessment Predictive Value of Tests Lymph Nodes Risk Factors Adolescent Area Under Curve
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Artificial neural network prediction of postoperative complications in papillary thyroid microcarcinoma based on preoperative ultrasonographic features.

Journal of clinical ultrasound : JCU Aug 27, 2024
OBJECTIVE: To predict post-thyroidectomy complications in papillary thyroid microcarcinoma (PTMC) patients using a deep learning model based on preoperative ultrasonographic features. This study addresses the global rise in PTMC incidence and the cha...
Male Middle Aged Postoperative Complications Deep Learning Female Reproducibility of Results Adult Predictive Value of Tests Carcinoma, Papillary Thyroid Gland Thyroidectomy Thyroid Neoplasms Ultrasonography Humans Neural Networks, Computer Retrospective Studies
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Use of Natural Language Processing to Extract and Classify Papillary Thyroid Cancer Features From Surgical Pathology Reports.

Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists Aug 26, 2024
BACKGROUND: We aim to use Natural Language Processing to automate the extraction and classification of thyroid cancer risk factors from pathology reports.
Natural Language Processing Neoplasm Recurrence, Local Thyroid Cancer, Papillary Pathology, Surgical Humans Risk Factors Adult Thyroid Neoplasms
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Thy-DAMP: deep artificial neural network model for prediction of thyroid cancer mortality.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Aug 22, 2024
PURPOSE: Despite the rising incidence of differentiated thyroid cancer (DTC), mortality rates have remained relatively low yet crucial for effective patient management. This study aims to develop a deep neural network capable of predicting mortality ...
Humans Neural Networks, Computer United States Predictive Value of Tests Neoplasm Staging SEER Program Adult Prognosis Female Male Aged Middle Aged Thyroid Neoplasms
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Decoding the NCCN Guidelines With AI: A Comparative Evaluation of ChatGPT-4.0 and Llama 2 in the Management of Thyroid Carcinoma.

The American surgeon Aug 13, 2024
INTRODUCTION: Artificial Intelligence (AI) has emerged as a promising tool in the delivery of health care. ChatGPT-4.0 (OpenAI, San Francisco, California) and Llama 2 (Meta, Menlo Park, CA) have each gained attention for their use in various medical ...
Practice Guidelines as Topic Humans Artificial Intelligence Clinical Decision-Making Thyroid Neoplasms
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Reinforced Computer-Aided Framework for Diagnosing Thyroid Cancer.

IEEE/ACM transactions on computational biology and bioinformatics Aug 9, 2024
Thyroid cancer is the most pervasive disease in the endocrine system and is getting extensive attention. The most prevalent method for an early check is ultrasound examination. Traditional research mainly concentrates on promoting the performance of ...
Humans Algorithms Diagnosis, Computer-Assisted Markov Chains Deep Learning Image Interpretation, Computer-Assisted Thyroid Gland Thyroid Neoplasms Ultrasonography
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Combining Image Similarity and Predictive Artificial Intelligence Models to Decrease Subjectivity in Thyroid Nodule Diagnosis and Improve Malignancy Prediction.

Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists Aug 8, 2024
OBJECTIVES: To evaluate the efficacy of combining predictive artificial intelligence (AI) and image similarity model to risk stratify thyroid nodules, using retrospective external validation study.
Retrospective Studies Female Ultrasonography Aged Sensitivity and Specificity Thyroid Nodule Adult Male Predictive Value of Tests Humans Middle Aged Biopsy, Fine-Needle Artificial Intelligence Thyroid Neoplasms
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Label-Free Surface-Enhanced Raman Spectroscopy with Machine Learning for the Diagnosis of Thyroid Cancer by Using Fine-Needle Aspiration Liquid Samples.

Biosensors Jul 31, 2024
The incidence of thyroid cancer is increasing worldwide. Fine-needle aspiration (FNA) cytology is widely applied with the use of extracted biological cell samples, but current FNA cytology is labor-intensive, time-consuming, and can lead to the risk ...
Principal Component Analysis Metal Nanoparticles Algorithms Silver Discriminant Analysis Humans Thyroid Neoplasms Liquid Biopsy Neural Networks, Computer Spectrum Analysis, Raman Biopsy, Fine-Needle Machine Learning Support Vector Machine
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DEL-Thyroid: deep ensemble learning framework for detection of thyroid cancer progression through genomic mutation.

BMC medical informatics and decision making Jul 22, 2024
Genes, expressed as sequences of nucleotides, are susceptible to mutations, some of which can lead to cancer. Machine learning and deep learning methods have emerged as vital tools in identifying mutations associated with cancer. Thyroid cancer ranks...
Mutation Disease Progression Deep Learning Thyroid Neoplasms Humans
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