Radiology-Artificial Intelligence
metrics 2024
Integrating Intelligence for Enhanced Diagnostic Precision
Introduction
Radiology-Artificial Intelligence is an esteemed journal published by the Radiological Society of North America (RSNA), focusing on the intersection of radiology and artificial intelligence. Since its inception in 2019, this journal has rapidly established itself within the academic community, achieving a remarkable Q1 classification in 2023 across multiple categories, including Artificial Intelligence, Radiological and Ultrasound Technology, and Radiology, Nuclear Medicine and Imaging. With an impressive impact factor reflected by its high Scopus rankings—6th in the realm of Radiology, 3rd in Radiological Technology, and 25th in Computer Science—this journal stands as a crucial platform for groundbreaking research and innovation. Researchers, professionals, and students alike will find this publication an invaluable resource for advancing their understanding of AI applications in radiology, enhancing diagnostic capabilities, and improving patient care. The journal operates on a non-open access model, ensuring high-quality peer-reviewed content. Located in Oak Brook, Illinois, the RSNA continues to lead the field by promoting excellence in the integration of artificial intelligence into medical imaging practices.
Metrics 2024
Metrics History
Rank 2024
Scopus
IF (Web Of Science)
JCI (Web Of Science)
Quartile History
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