Seoul Metropolitan Government

Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in a Real Health Care Environment

Haeyun Lee, Young Jun Chai, Hyunjin Joo et al.

2021 · 72 Zit.

Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology

Eui Jin Hwang, Jin Mo Goo, Soon Ho Yoon et al.

2021 · 44 Zit.

Artificial Intelligence-Based Identification of Normal Chest Radiographs: A Simulation Study in a Multicenter Health Screening Cohort

Hyunsuk Yoo, Eun Young Kim, Hyungjin Kim et al.

2022 · 23 Zit.

2023 Survey on User Experience of Artificial Intelligence Software in Radiology by the Korean Society of Radiology

Eui Jin Hwang, Ji Eun Park, Kyoung Doo Song et al.

2024 · 14 Zit.

Development and operation of a digital platform for sharing pathology image data

Yunsook Kang, Yoo Jung Kim, Seongkeun Park et al.

2021 · 14 Zit.

Thyro-GenAI: A Chatbot Using Retrieval-Augmented Generative Models for Personalized Thyroid Disease Management

Minjeong Shin, Junho Song, Myung-Gwan Kim et al.

2025 · 8 Zit.

A smart, practical, deep learning-based clinical decision support tool for patients in the prostate-specific antigen gray zone: model development and validation

Sang Hun Song, Hwanik Kim, Jung Kwon Kim et al.

2022 · 6 Zit.

Comparative performance of large language models in answering cornea and cataract surgery questions for resident training

Seonghwan Kim, Man Ji, Chung Young Kim et al.

2026 · 0 Zit.

Can ChatGPT effectively generate abstracts in orthopedic surgery? A comparative analysis between human-written and ChatGPT-generated scientific abstracts

Hong Jin Kim, Jinu Yoon, Tae Sik Goh et al.

2026 · 0 Zit.

Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in a Real Health Care Environment (Preprint)

Haeyun Lee, Young Jun Chai, Hyunjin Joo et al.

2020 · 0 Zit.

AI Solution for Identifying Actionable Abnormalities on Chest Radiographs: A Retrospective Case-Control Study

Moon Young Kim, Jin Young Yoo, Yun Hee Jang et al.

2026 · 0 Zit.

K-MIMIC: a nationwide Korean multi-institutional Multimodal intensive care dataset

Young-Gon Kim, J. Shin, Sul Mui Won et al.

2026 · 0 Zit.