The journal publishes research on the application of artificial intelligence (AI), including deep learning and machine learning, to medical imaging. Studies focus on developing and validating AI frameworks for image segmentation, classification, and reconstruction across various modalities like MRI, CT, and ultrasound. The research also explores the use of AI for quantitative analysis, prediction of treatment response, and improving diagnostic accuracy in different clinical areas.
Springer Science and Business Media Deutschland GmbH
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Does the journal have a website?
✓ Linked
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Is the ISSN verified?
2509-9280 / 2509-9280
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Indexed in a trusted database?
Scopus, DOAJ
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Peer review process documented?
Double-blind
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Follows ethical publishing standards (COPE)?
N/A
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APC fees clearly disclosed?
N/A
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Not on predatory/blacklists?
✓ Clean
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Long-term digital preservation?
CLOCKSS
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Plagiarism detection in place?
Yes
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Listed in DOAJ (verified OA)?
DOAJ verified
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Primary language documented?
English
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Radiology, Nuclear Medicine and ImagingQ1
Subject Classification
Web of Science Categories
Radiology, Nuclear Medicine & Medical Imaging
Scopus Categories
Radiology, Nuclear Medicine and Imaging
Research Topics (OpenAlex)
Advanced X-ray and CT ImagingRadiomics and Machine Learning in Medical ImagingMRI in cancer diagnosisAdvanced MRI Techniques and ApplicationsRadiation Dose and ImagingCardiac Imaging and DiagnosticsHepatocellular Carcinoma Treatment and PrognosisMedical Imaging Techniques and ApplicationsArtificial Intelligence in Healthcare and EducationDigital Radiography and Breast Imaging