Cargando…

Diagnostic value of a dynamic artificial intelligence ultrasonic intelligent auxiliary diagnosis system for benign and malignant thyroid nodules in patients with Hashimoto thyroiditis

BACKGROUND: A dynamic artificial intelligence (AI) ultrasonic intelligent assistant diagnosis system (dynamic AI) is a joint application of AI technology and medical imaging, which can conduct real-time synchronous dynamic analysis of nodules from multiple sectional views with different angles. This...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Bing, Wan, Zheng, Zhang, Mingbo, Gong, Fengxia, Zhang, Linlin, Luo, Yukun, Yao, Jing, Li, Chen, Tian, Wen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2023
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240020/ https://www.ncbi.nlm.nih.gov/pubmed/37284122 http://dx.doi.org/10.21037/qims-22-889

Ejemplares similares

Identification of benign and malignant thyroid nodules based on dynamic AI ultrasound intelligent auxiliary diagnosis system
por: Wang, Bing, et al.
Publicado: (2022)

Elastography Evaluation of Benign Thyroid Nodules in Patients Affected by Hashimoto's Thyroiditis
por: Cappelli, Carlo, et al.
Publicado: (2015)

Efficacy and safety of radiofrequency ablation for benign thyroid nodules in patients with previous thyroid lobectomy
por: Yan, Lin, et al.
Publicado: (2021)

Ultrasound Image-Based Diagnosis of Malignant Thyroid Nodule Using Artificial Intelligence
por: Nguyen, Dat Tien, et al.
Publicado: (2020)

Benign and malignant thyroid nodules with autoimmune thyroiditis
por: Kassi, Georgia N., et al.
Publicado: (2022)

Artificial intelligence defines protein-based classification of thyroid nodules
por: Sun, Yaoting, et al.
Publicado: (2022)

Influence of Hashimoto thyroiditis on diagnosis and treatment of thyroid nodules
por: Mao, Linfeng, et al.
Publicado: (2022)

Artificial Intelligence for Thyroid Nodule Characterization: Where Are We Standing?
por: Sorrenti, Salvatore, et al.
Publicado: (2022)

The Use of Artificial Intelligence in the Diagnosis and Classification of Thyroid Nodules: An Update
por: Ludwig, Maksymilian, et al.
Publicado: (2023)

Thyrotropin serum levels and coexistence with Hashimoto’s thyroiditis as predictors of malignancy in children with thyroid nodules
por: Zirilli, Giuseppina, et al.
Publicado: (2019)

Ultrasound-guided microwave ablation for benign thyroid nodules results in earlier and faster nodule shrinkage in patients with Hashimoto's thyroiditis than in those with normal thyroid function
por: Chen, Yihao, et al.
Publicado: (2023)

A Nomogram to Predict Regrowth After Ultrasound-Guided Radiofrequency Ablation for Benign Thyroid Nodules
por: Yan, Lin, et al.
Publicado: (2022)

The Impact of Hashimoto Thyroiditis on Thyroid Nodule Cytology and Risk of Thyroid Cancer
por: Silva de Morais, Nathalie, et al.
Publicado: (2019)

Cytological diagnosis of thyroid nodules in Hashimoto thyroiditis in elderly patients
por: Caleo, Alessia, et al.
Publicado: (2013)

The Diagnostic Value of Artificial Intelligence Ultrasound S-Detect Technology for Thyroid Nodules
por: Huang, Peizhen, et al.
Publicado: (2022)

An intelligent platform for ultrasound diagnosis of thyroid nodules
por: Ye, Heng, et al.
Publicado: (2020)

Comparison of Various Ultrasound-Based Malignant Risk Stratification Systems on an Occasion for Assessing Thyroid Nodules in Hashimoto’s Thyroiditis
por: Zhao, Tianxue, et al.
Publicado: (2023)

Artificial Intelligence for Pre-operative Diagnosis of Malignant Thyroid Nodules Based on Sonographic Features and Cytology Category
por: Jassal, Karishma, et al.
Publicado: (2022)

Author Correction: Artificial intelligence defines protein-based classification of thyroid nodules
por: Sun, Yaoting, et al.
Publicado: (2022)

Diagnostic performance of artificial intelligence-based computer-aided diagnosis system in longitudinal and transverse ultrasonic views for differentiating thyroid nodules
por: Zheng, Lin-lin, et al.
Publicado: (2023)

Influence of Hashimoto Thyroiditis on the Development of Thyroid Nodules and Cancer in Children and Adolescents
por: Radetti, Giorgio, et al.
Publicado: (2019)

Radiomics-based ultrasound models for thyroid nodule differentiation in Hashimoto’s thyroiditis
por: Fang, Mengyuan, et al.
Publicado: (2023)

Diagnostic Value of Artificial Intelligence Based on CT Image in Benign and Malignant Pulmonary Nodules
por: Du, Wang, et al.
Publicado: (2022)

Artificial intelligence in thyroid ultrasound
por: Cao, Chun-Li, et al.
Publicado: (2023)

External validation of AIBx, an artificial intelligence model for risk stratification, in thyroid nodules
por: Swan, Kristine Z, et al.
Publicado: (2022)

Altered Serum MicroRNA Profile May Serve as an Auxiliary Tool for Discriminating Aggressive Thyroid Carcinoma from Nonaggressive Thyroid Cancer and Benign Thyroid Nodules
por: Zhang, Aisen, et al.
Publicado: (2019)

Ultrasound Computer-Aided Diagnosis (CAD) Based on the Thyroid Imaging Reporting and Data System (TI-RADS) to Distinguish Benign from Malignant Thyroid Nodules and the Diagnostic Performance of Radiologists with Different Diagnostic Experience
por: Jin, Zhuang, et al.
Publicado: (2020)

A Model to Discriminate Malignant from Benign Thyroid Nodules Using Artificial Neural Network
por: Zhu, Lu-Cheng, et al.
Publicado: (2013)

Elastography in Distinguishing Benign from Malignant Thyroid Nodules
por: Colakoglu, Bulent, et al.
Publicado: (2016)

Using Deep Neural Network to Diagnose Thyroid Nodules on Ultrasound in Patients With Hashimoto’s Thyroiditis
por: Hou, Yiqing, et al.
Publicado: (2021)

Value of Whole-Thyroid CT-Based Radiomics in Predicting Benign and Malignant Thyroid Nodules
por: Xu, Han, et al.
Publicado: (2022)

Development and Application of Artificial Intelligence in Auxiliary TCM Diagnosis
por: Feng, Chuwen, et al.
Publicado: (2021)

Risk Factors Associated with Benign and Malignant Thyroid Nodules in Autoimmune Thyroid Diseases
por: Lima, Priscila Carneiro Moreira, et al.
Publicado: (2013)

Hashimoto’s Thyroiditis Does Not Influence the Malignancy Risk in Nodules of Category III in the Bethesda System
por: Słowińska-Klencka, Dorota, et al.
Publicado: (2022)

Peripheral Blood Inflammatory Markers Can Predict Benign and Malignant Thyroid Nodules
por: Deng, Yuanyuan, et al.
Publicado: (2022)

Investigating the diagnostic efficiency of a computer-aided diagnosis system for thyroid nodules in the context of Hashimoto’s thyroiditis
por: Gong, Liu, et al.
Publicado: (2023)

Novel Human Artificial Intelligence Hybrid Framework Pinpoints Thyroid Nodule Malignancy and Identifies Overlooked Second-Order Ultrasonographic Features
por: Jia, Xiaohong, et al.
Publicado: (2022)

A novel computerised quantification of thyroid vascularity in the differentiation of malignant and benign thyroid nodules
por: Toomatari, Seyed Babak Moosavi, et al.
Publicado: (2019)

Application of Sonoelastography in Differential Diagnosis of Benign and Malignant Thyroid Nodules
por: Esfahanian, Fatemeh, et al.
Publicado: (2016)

Neutrophils to lymphocytes ratio between benign and malignant thyroid nodule
por: Haider, Nazia, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_gstd6ufajf1to878r66n3dr4ik