Joon-Il Choi

Associate professor

Catholic University of Korea Eunpyeong St Mary's Hospital

South Korea

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About

Joon-Il Choi is an Associate Professor at Seoul St. Mary's Hospital, The Catholic University of Korea. His research areas include the application of artificial intelligence in medical imaging, reporting standards in oncology, and diagnostic guidelines for liver diseases. Recent publications highlight his work on mixed-language CT reports, prognostic value of different imaging modalities in cancer, and the integration of AI technologies in medical practice.

Articles (13)

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2025

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2025

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2021

Collaborators (13)

Pil Soo Sung

The Catholic University of Korea

SOUTH KOREA

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Baptiste Vasey

University of Oxford

UNITED KINGDOM

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Jeong Hee Yoon

Seoul National University Hospital

SOUTH KOREA

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Youngwoo Jeon

The Catholic University of Korea

SOUTH KOREA

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Sung Eun Rha

Professor

Catholic University of Korea School of Medicine

SOUTH KOREA

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Jae Ho Byun

University of Ulsan College of Medicine

SOUTH KOREA

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Woo Hee Choi

The Catholic University of Korea

SOUTH KOREA

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Joo Hyun O

The Catholic University of Korea

SOUTH KOREA

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Eun Sun Lee

Chungbuk National University Hospital

SOUTH KOREA

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Hokun Kim

Clinical assistant professor

Seoul St. Mary's hospital

SOUTH KOREA

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So Hyun Park

Gachon University Gil Medical Center

SOUTH KOREA

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Soon Nam Oh

The Catholic University of Korea

SOUTH KOREA

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Jung Bok Lee

University of Ulsan College of Medicine

SOUTH KOREA

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Joon-Il Choi

Research Interests

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Articles (13)

Conversion of Mixed-Language Free-Text CT Reports of Pancreatic Cancer to National Comprehensive Cancer Network Structured Reporting Templates by Using GPT-4

Overview of South Korean Guidelines for Approval of Large Language or Multimodal Models as Medical Devices: Key Features and Areas for Improvement

Comparison of Four Diagnostic Guidelines for Hepatocellular Carcinoma Using Gadoxetic Acid–enhanced Liver MRI

Prognostic Value of FDG PET/CT in Patients with Nodal Peripheral T-Cell Lymphoma

Targetoid Primary Liver Malignancy in Chronic Liver Disease: Prediction of Postoperative Survival Using Preoperative MRI Findings and Clinical Factors

Comparison of FDG PET/CT and Bone Marrow Biopsy Results in Patients with Diffuse Large B Cell Lymphoma with Subgroup Analysis of PET Radiomics

Inter-reader agreement of abbreviated magnetic resonance imaging for hepatocellular carcinoma detection: a systematic review and meta-analysis

LI-RADS Treatment Response versus Modified RECIST for Diagnosing Viable Hepatocellular Carcinoma after Locoregional Therapy: A Systematic Review and Meta-Analysis of Comparative Studies

Randomized Clinical Trials of Artificial Intelligence in Medicine: Why, When, and How?

Health insurance coverage for artificial intelligence–based medical technologies: focus on radiology

Diagnostic Performance of KLCA-NCC 2018 Criteria for Hepatocellular Carcinoma Using Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis

Combining hepatic surface nodularity and serum tests better predicts hepatic fibrosis stages in chronic liver disease

Magnetic Resonance Imaging for Surveillance of Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis

Collaborators (13)

Pil Soo Sung

Baptiste Vasey

Jeong Hee Yoon

Youngwoo Jeon

Sung Eun Rha

Jae Ho Byun

Woo Hee Choi

Joo Hyun O

Eun Sun Lee

Hokun Kim

So Hyun Park

Soon Nam Oh

Jung Bok Lee

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