Eun‐Kyung Kim

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

2023 · 78 Zit. · npj Digital Medicine

Diagnosis of thyroid nodules on ultrasonography by a deep convolutional neural network

2020 · 59 Zit. · Scientific Reports

Diagnostic performance of artificial intelligence approved for adults for the interpretation of pediatric chest radiographs

2022 · 39 Zit. · Scientific Reports

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

2022 · 29 Zit. · Korean Journal of Radiology

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

2023 · 20 Zit. · PLoS ONE

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

2024 · 15 Zit. · Korean Journal of Radiology

The Impact of Artificial Intelligence on Radiologists’ Reading Time in Bone Age Radiograph Assessment: A Preliminary Retrospective Observational Study

2024 · 2 Zit. · Journal of Imaging Informatics in Medicine

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

2025 · 1 Zit. · Journal of Korean Medical Association

Differing Benefits of Artificial Intelligence-based Computer-aided Diagnosis (AI-CAD) for Breast US According to Workflow and Experience Level

2021 · 0 Zit. · Research Square (Research Square)

Global Neurology Initiative: Piloting an Innovative Global Health Curriculum for Neurology Residents at the University of Massachusetts in collaboration with Charutar Arogya Mandal in Gujarat, India (P3.326)

2017 · 0 Zit. · Neurology