The advent of artificial intelligence (AI) is revolutionizing medicine, particularly radiology.
With the development of newer models, AI applications are demonstrating improved …

Objective This study aims to explore the opinions on the insurance coverage of artificial
intelligence (AI), as categorized based on the distinct value elements offered by AI, with a …

Objective We aimed to evaluate the reporting quality of research articles that applied deep
learning to medical imaging. Using the Checklist for Artificial Intelligence in Medical Imaging …

Background Artificial intelligence (AI)-assisted image interpretation is a fast-developing area
of clinical innovation. Most research to date has focused on the performance of AI-assisted …

Regardless of the changes in KJR's JIF, I am confident that the quality of KJR improved in
2022 compared with the preceding year. Indeed, KJR has continuously been trying to …

Rationale and Objectives Given the high volume of chest radiographs, radiologists
frequently encounter heavy workloads. In outpatient imaging, a substantial portion of chest …

Chest radiographs (CRs) are among the most widely used imaging examinations globally,
and their extensive availability facilitates the early application of DL algorithms in this …

Though chest radiography is a first-line diagnostic tool in the emergency department (ED),
interpretation has a high error rate. We aimed to evaluate the usability and acceptability of …

초록 흉부 X 선은 인공지능 기술이 활발히 적용되고 있는 대표적인 영상 검사이다. 흉부 X 선
영상에서 다양한 이상 소견을 자동으로 검출하여 의사의 판독을 보조하는 인공지능 기반 …

Background: Chest radiographs are one of the most frequently performed imaging
examinations in radiology. Chest radiograph reading is characterized by a high volume of …