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Eun-Kyung Kim

Professor

Yonsei University College of Medicine

South Korea

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Research Interests

Medical Imaging

100%

Radiology

90%

Ct Imaging

40%

Radiography

40%

Medical Diagnostics

40%

Breast Cancer

40%

Breast Imaging

40%

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Articles17

In Vivo Conductivity of Normal Fibroglandular Tissue Using MR Electrical Properties Tomography: A Comparison With Apparent Diffusion Coefficient

Article Link

Year:

2025

External Validation of an Upgraded AI Model for Screening Ileocolic Intussusception Using Pediatric Abdominal Radiographs: Multicenter Retrospective Study

Article Link

Year:

2025

Applications of artificial intelligence-based computer-assisted diagnosis in breast radiology: a narrative review

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Year:

2025

Factors for increasing positive predictive value of pneumothorax detection on chest radiographs using artificial intelligence

Article Link

Year:

2024

Impact of AI for Digital Breast Tomosynthesis on Breast Cancer Detection and Interpretation Time

Article Link

Year:

2024

Positive Predictive Values of Abnormality Scores From a Commercial Artificial Intelligence-Based Computer-Aided Diagnosis for Mammography

Article Link

Year:

2024

Optimizing adult-oriented artificial intelligence for pediatric chest radiographs by adjusting operating points

Article Link

Year:

2024

Hospital-wide survey of clinical experience with artificial intelligence applied to daily chest radiographs

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Year:

2023

Novel Risks of Unfavorable Corticosteroid Response in Patients with Mild-to-Moderate COVID-19 Identified Using Artificial Intelligence-Assisted Analysis of Chest Radiographs

Article Link

Year:

2023

The impact of artificial intelligence on the reading times of radiologists for chest radiographs

Article Link

Year:

2023

Differing benefits of artificial intelligence-based computer-aided diagnosis for breast US according to workflow and experience level

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Year:

2022

US, Mammography, and Histopathologic Evaluation to Identify Low Nuclear Grade Ductal Carcinoma in Situ

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Year:

2022

Depiction of breast cancers on digital mammograms by artificial intelligence-based computer-assisted diagnosis according to cancer characteristics

Article Link

Year:

2022

Sonographic predictors of aggressive behavior in medullary thyroid carcinomas

Article Link

Year:

2022

Research Highlight: Artificial Intelligence for Ruling Out Negative Examinations in Screening Breast MRI

Article Link

Year:

2022

Successful Implementation of an Artificial Intelligence-Based Computer-Aided Detection System for Chest Radiography in Daily Clinical Practice

Article Link

Year:

2022

Application of artificial intelligence–based computer-assisted diagnosis on synthetic mammograms from breast tomosynthesis: comparison with digital mammograms

Article Link

Year:

2021

Collaborators9

Hyun Joo Shin

Yonsei University College of Medicine

SOUTH KOREA

ja seung koo

Associate Professor

Yonsei University College of Medicine

SOUTH KOREA

Hanpyo Hong

Research professor

Yonsei University College of Medicine

SOUTH KOREA

Min Jung Kim

Professor

Yonsei University College of Medicine

SOUTH KOREA

Dong‐Hyun Kim

SOUTH KOREA

Sungwon Kim

SOUTH KOREA

Jung Hyun Yoon

Yonsei University

SOUTH KOREA

Nak-Hoon Son

Assistant Professor

Keimyung University

SOUTH KOREA

Taeyoung Kyong

Yonsei University College of Medicine

SOUTH KOREA

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