SCIESCOPUSQ1
Radiology-Artificial Intelligence
RADIOLOGICAL SOC NORTH AMERICA (RSNA), United States
Radiology-Artificial Intelligence is an academic journal published by RADIOLOGICAL SOC NORTH AMERICA (RSNA) (United States). Identifiers: ISSN 2638-6100, eISSN 2638-6100. Indexed in SCIE, SCOPUS. Metrics: JIF 13.2, CiteScore 16.3, SJR 3.128, SNIP 3.26. Subject areas: RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING. tlooto lists 724 papers from this journal.
CiteScore
16.30
Scopus citation metric
SJR
3.128
SCImago rank
SNIP
3.26
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 2638-6100
- eISSN
- 2638-6100
- Abbreviation
- RADIOL-ARTIF INTELL
- Publisher
- RADIOLOGICAL SOC NORTH AMERICA (RSNA)
- Country
- United States
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
17022741 Radiology3614 Radiological and Ultrasound Technology
Papers in this journal
Recent papers
- Bone Metastasis Detection at CT with Deep Learning Models Trained Using Multicenter, Multimodal Reference Standards: Development and Evaluation.
2026 · 1 citations
- Cognitively Biased Prompt Effects on Large Language Model Accuracy for Radiology Board-style Examination Questions.
2026 · 1 citations
- The Economic Realism of AI in Radiology.
2026
- Development and Validation of a Deep Learning-enabled Single Breath-hold Abbreviated MRI Protocol for Hepatocellular Carcinoma Diagnosis.
2026
- Alignment of Policy, Practice, and Patient Safety for Trustworthy AI in Radiology.
2026
Most cited papers
- TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images.
2022 · 1,626 citations
- Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers.
2020 · 1,086 citations
- fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.
2020 · 502 citations
- On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities.
2020 · 418 citations
- Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia.
2019 · 407 citations