European Journal of Radiology Artificial Intelligence
Elsevier
About the journal
European Journal of Radiology Artificial Intelligence is an open-access journal published by Elsevier in Netherlands, publishing in english. It is listed in DOAJ according to the sources read. Declared publication charge: 2,900 USD. Declared review time at DOAJ: 16 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Elsevier
- ISSN
- 3050-5771
- Country
- Netherlands
- Languages
- english
- Access
- Open access
- Declared publication charge
- 2,900 USD
- Articles in DOAJ
- 0
- Declared review time
- 16 weeks
- Declared peer-review model
- peer_review
Index listings
- DOAJ · 2026-07-14
- Indexing
- DOAJ
- APC
- 2,900 USD
- Declared review time (DOAJ)
- 16 weeks — journal-declared only (not measured)
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
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- Choose your university and rank below ↓
Methodology signals (dated facts from their sources)
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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Articles in DOAJ
0
Average review time (journal-declared via DOAJ)
16weeks
Works in OpenAlex
107
Last recorded publication year
2026
h-index
7
i10-index
6
From OpenAlex open data (CC0).
Editorial & policy10
- Added to DOAJ
- 2026-07-14
- Declared plagiarism screening
- Declared
- Other fees beyond APC
- No
- Declared digital preservation
- CLOCKSSPortico
- Observed digital preservation (Keepers registry)— snapshot 2026-10-05
- CLOCKSSPortico
- Editorial board
- Official page ↗
- Open references deposited at Crossref
- 96%
- ORCID iDs in current deposits
- 67%
- Deposits licence metadata at Crossref
- ✓
- APC waiver policy
- View policy
- Peer-review policy
- View policy
Identity & continuity2
- Source type
- journal
- NLM unique ID (PubMed)
- 9919253916206676
Classification4
Subjects (DOAJ)
LCC codes
Subject areas
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence in Healthcare and Education
- Radiomics and Machine Learning in Medical Imaging
- Radiomics and Machine Learning in Medical Imaging
- Radiology practices and education
- Radiology practices and education
- Advanced X-ray and CT Imaging
- Advanced X-ray and CT Imaging
Show all subjects (50)
- AI in cancer detection
- AI in cancer detection
- Medical Imaging and Analysis
- Medical Imaging and Analysis
- MRI in cancer diagnosis
- Explainable Artificial Intelligence (XAI)
- Explainable Artificial Intelligence (XAI)
- MRI in cancer diagnosis
- Digital Radiography and Breast Imaging
- Digital Radiography and Breast Imaging
- Cardiac Imaging and Diagnostics
- COVID-19 diagnosis using AI
- Radiation Dose and Imaging
- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
- Cardiac Imaging and Diagnostics
- Prostate Cancer Diagnosis and Treatment
- Medical Imaging Techniques and Applications
- Prostate Cancer Diagnosis and Treatment
- Clinical Reasoning and Diagnostic Skills
- Lung Cancer Diagnosis and Treatment
- Radiation Dose and Imaging
- Machine Learning in Healthcare
- Clinical Reasoning and Diagnostic Skills
- Lung Cancer Diagnosis and Treatment
- Machine Learning in Healthcare
- Brain Tumor Detection and Classification
- Fetal and Pediatric Neurological Disorders
- Brain Tumor Detection and Classification
- Fetal and Pediatric Neurological Disorders
- Hepatocellular Carcinoma Treatment and Prognosis
- Bone health and osteoporosis research
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Topic Modeling
- Medical Image Segmentation Techniques
- Glioma Diagnosis and Treatment
- Hepatocellular Carcinoma Treatment and Prognosis
- Bone health and osteoporosis research
- Advanced Neural Network Applications
- Topic Modeling
- Glioma Diagnosis and Treatment
Keywords (DOAJ)
- artificial intelligence
- clinical radiology
- medical imaging
- imaging developments
- evidence-based imaging
- radiology technology
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
The journal's record in other sources:Web of Science MJLDOAJ