Jin Mo Goo

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

2021 · 44 Zit. · Korean Journal of Radiology

Artificial intelligence system for identification of false-negative interpretations in chest radiographs

2022 · 18 Zit. · European Radiology

Artificial Intelligence for Assessment of Endotracheal Tube Position on Chest Radiographs: Validation in Patients From Two Institutions

2023 · 8 Zit. · American Journal of Roentgenology

Methods of Visualizing the Results of an Artificial-Intelligence-Based Computer-Aided Detection System for Chest Radiographs: Effect on the Diagnostic Performance of Radiologists

2023 · 5 Zit. · Diagnostics

Artificial Intelligence-Driven Drafting of Chest X-Ray Reports: 2025 Position Statement From the Korean Society of Thoracic Radiology Based on an Expert Survey

2025 · 4 Zit. · Korean Journal of Radiology

Artificial Intelligence Analysis of Chest Radiographs for Predicting Major Adverse Events in Patients Visiting the Emergency Department With Acute Cardiopulmonary Symptoms

2025 · 3 Zit. · Korean Journal of Radiology

Role of Chest Radiographs and CT Scans and the Application of Artificial Intelligence in Coronavirus Disease 2019

2020 · 2 Zit. · Journal of the Korean Society of Radiology