Ji-hoon Kim

Professor

Seoul National University Hospital

South Korea

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Professor Ji-hoon Kim is a faculty member at Seoul National University Hospital in South Korea. His research primarily focuses on thyroid imaging and intervention, evidenced by recent publications on guidelines for active surveillance of low-risk papillary thyroid carcinoma and the safety of ultrasound-guided procedures. Additionally, he has contributed to advancements in thyroid nodule diagnosis through the application of artificial intelligence models and standardization of ultrasound evaluations.

Articles (19)

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2025

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2022

Collaborators (17)

So Lyung Jung

The Catholic University of Korea

SOUTH KOREA

Ji-hoon Kim

Research Interests

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Articles (19)

Radiofrequency Ablation for Recurrent Thyroid Cancers: 2025 Korean Society of Thyroid Radiology Guideline

2025 Korean Thyroid Association Clinical Management Guideline on Active Surveillance for Low-Risk Papillary Thyroid Carcinoma

2025 Korean Thyroid Association Clinical Management Guideline on Active Surveillance for Low-Risk Papillary Thyroid Carcinoma

Safety and Efficacy of Ultrasound-Guided Thrombin Injection for Pseudoaneurysms Arising after Ultrasound-Guided Biopsy of Thyroid Nodules

Essentials for parathyroid imaging and intervention: what radiologists need to know

A Prospective Clinical Trial of Radiofrequency Ablation in Patients with Low-Risk Unifocal Papillary Thyroid Microcarcinoma Favoring Active Surveillance Over Surgery

Malignancy risk stratification and subcategorization of K-TIRADS intermediate suspicion thyroid nodules: a retrospective multicenter study

Standardized Ultrasound Evaluation for Active Surveillance of Low-Risk Thyroid Microcarcinoma in Adults: 2024 Korean Society of Thyroid Radiology Consensus Statement

Risk Stratification of Thyroid Nodules Diagnosed as Bethesda Category III by Ultrasound, Size, and Cytology

Orientation of the ultrasound probe to identify the taller-than-wide sign of thyroid malignancy: a registry-based study with the Thyroid Imaging Network of Korea

Risk of thyroid cancer in a lung cancer screening population of the National Lung Screening Trial according to the presence of incidental thyroid nodules detected on low-dose chest CT

Artificial Intelligence Model Assisting Thyroid Nodule Diagnosis and Management: A Multicenter Diagnostic Study

Development of a machine learning-based fine-grained risk stratification system for thyroid nodules using predefined clinicoradiological features

Standardized Imaging and Reporting for Thyroid Ultrasound: Korean Society of Thyroid Radiology Consensus Statement and Recommendation

Validation of Ultrasound and Computed Tomography-Based Risk Stratification System and Biopsy Criteria for Cervical Lymph Nodes in Preoperative Patients With Thyroid Cancer

Malignancy risk stratification of thyroid nodules according to echotexture and degree of hypoechogenicity: a retrospective multicenter validation study

Malignancy risk of thyroid nodules with minimal cystic changes: a multicenter retrospective study

Prediction of hemorrhagic complications after ultrasound-guided biopsy of the thyroid and neck

Validation of Ultrasound Risk Stratification Systems for Cervical Lymph Node Metastasis in Patients with Thyroid Cancer

Collaborators (17)

So Lyung Jung

Sun-Won Park

Seul Kee Kim

Seung Hong Choi

Tae Jin Yun

Young Hun Jeon

Younghen Lee

Jung Hwan Baek

Sung-Hye You

Do Joon Park

Eun Kyung Lee

KyungSik Kim

Ji Ye Lee

Koung Mi Kang

Sun Wook Cho

Young Joo Park

Boeun Lee

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