Computer-Aided Diagnostic System for Thyroid Nodules on Ultrasonography: Diagnostic Performance Based on the Thyroid Imaging Reporting and Data System Classification and Dichotomous Outcomes

Inter- and Intraobserver Agreement in the Assessment of Thyroid Nodule Ultrasound Features and Classification Systems: A Blinded Multicenter Study

(2020) Agnese Persichetti et al.   THYROID

Deep convolutional neural network models for the diagnosis of thyroid cancer

(2019) Eun Ju Ha et al.   LANCET ONCOLOGY

Ultrasound image analysis using deep learning algorithm for the diagnosis of thyroid nodules

(2019) Junho Song et al.   MEDICINE

Real-World Performance of Computer-Aided Diagnosis System for Thyroid Nodules Using Ultrasonography

(2019) Hye Lin Kim et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Diagnosis of Thyroid Nodules: Performance of a Deep Learning Convolutional Neural Network Model vs. Radiologists

(2019) Vivian Y. Park et al.   Scientific Reports

Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images

(2019) Mateusz Buda et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Connecting Technological Innovation in Artificial Intelligence to Real-world Medical Practice through Rigorous Clinical Validation: What Peer-reviewed Medical Journals Could Do

(2018) Seong Ho Park et al.   JOURNAL OF KOREAN MEDICAL SCIENCE

Computer-Aided Diagnosis of Thyroid Nodules via Ultrasonography: Initial Clinical Experience

(2018) Young Jin Yoo et al.   KOREAN JOURNAL OF RADIOLOGY

Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction

(2018) Seong Ho Park et al.   RADIOLOGY

Regulatory Approval versus Clinical Validation of Artificial Intelligence Diagnostic Tools

(2018) Seong Ho Park   RADIOLOGY

Computer-aided diagnosis system for thyroid nodules on ultrasonography: diagnostic performance and reproducibility based on the experience level of operators

(2018) Eun Young Jeong et al.   EUROPEAN RADIOLOGY

Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study

(2018) Xiangchun Li et al.   LANCET ONCOLOGY

Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network

(2017) Jianning Chi et al.   JOURNAL OF DIGITAL IMAGING

Risk Stratification of Thyroid Nodules on Ultrasonography: Current Status and Perspectives

(2017) Eun Ju Ha et al.   THYROID

A Computer-Aided Diagnosis System Using Artificial Intelligence for the Diagnosis and Characterization of Thyroid Nodules on Ultrasound: Initial Clinical Assessment

(2017) Young Jun Choi et al.   THYROID

2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: What is new and what has changed?

(2016) Bryan R. Haugen   CANCER

Ultrasonography Diagnosis and Imaging-Based Management of Thyroid Nodules: Revised Korean Society of Thyroid Radiology Consensus Statement and Recommendations

(2016) Jung Hee Shin et al.   KOREAN JOURNAL OF RADIOLOGY