Radiology Artificial Intelligence

Radiological Society of North America

Evaluation status available after sign-in

About the journal

Radiology Artificial Intelligence is a journal published by Radiological Society of North America in United States. It is listed in MEDLINE and PUBMED according to the sources read. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Radiological Society of North America
ISSN
2638-6100
Country
United States
Access
Not open access / not declared

Index listings

  • MEDLINE · 2019-01-01
  • PUBMED · 2019-03-20
Indexing
MEDLINE · PUBMED
APC
—
Declared review time (DOAJ)
—
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
Counts for promotion at your university?
Choose your university and rank below ↓

Methodology signals (dated facts from their sources)

Details of the evaluation under the published methodology are shown to signed-in users (free).

Create a free account to view the evaluation

Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Works in OpenAlex

677

Last recorded publication year

2026

Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

66

i10-index

304

From OpenAlex open data (CC0).

Editorial & policy5
Observed digital preservation (Keepers registry)— snapshot 2026-10-05
Portico
Norwegian register (HK-dir)— 2026
Level 1 — approved scholarly channel
Open references deposited at Crossref
95%
ORCID iDs in current deposits
99%
Enrolled in Crossref Similarity Check
✓
Identity & continuity3
Alternate titles
Radiol Artif IntellRAIAIArtificial intelligence
Source type
journal
NLM unique ID (PubMed)
101746556
Classification(no data)

No data available to the platform for this group

No platform data for: Classification — absence is not a judgment about the journal.

Subject areas

  • Radiomics and Machine Learning in Medical Imaging
  • Radiomics and Machine Learning in Medical Imaging
  • Artificial Intelligence in Healthcare and Education
  • Artificial Intelligence in Healthcare and Education
  • AI in cancer detection
  • AI in cancer detection
  • COVID-19 diagnosis using AI
  • COVID-19 diagnosis using AI
Show all subjects (50)
  • Radiology practices and education
  • Radiology practices and education
  • Medical Imaging and Analysis
  • Medical Imaging and Analysis
  • Advanced X-ray and CT Imaging
  • Advanced X-ray and CT Imaging
  • Lung Cancer Diagnosis and Treatment
  • Lung Cancer Diagnosis and Treatment
  • Digital Radiography and Breast Imaging
  • Digital Radiography and Breast Imaging
  • Medical Imaging Techniques and Applications
  • Medical Imaging Techniques and Applications
  • MRI in cancer diagnosis
  • Brain Tumor Detection and Classification
  • Brain Tumor Detection and Classification
  • MRI in cancer diagnosis
  • Cardiac Imaging and Diagnostics
  • Cardiac Imaging and Diagnostics
  • Machine Learning in Healthcare
  • Machine Learning in Healthcare
  • Glioma Diagnosis and Treatment
  • Glioma Diagnosis and Treatment
  • Radiation Dose and Imaging
  • Radiation Dose and Imaging
  • Explainable Artificial Intelligence (XAI)
  • Medical Image Segmentation Techniques
  • Medical Image Segmentation Techniques
  • Explainable Artificial Intelligence (XAI)
  • Acute Ischemic Stroke Management
  • Acute Ischemic Stroke Management
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Advanced MRI Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Fetal and Pediatric Neurological Disorders
  • Fetal and Pediatric Neurological Disorders
  • Ultrasound in Clinical Applications
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Ultrasound in Clinical Applications
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Advanced Radiotherapy Techniques
  • Advanced Radiotherapy Techniques

Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.

Loading community confirmations…
How do we evaluate?Publisher of this journal? Appeal a derived assessment or request a factual correction

The journal's record in other sources:Web of Science MJLDOAJ

Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

Last automated source read: