This journal focuses on the application of artificial intelligence (AI) and machine learning in medical imaging. Articles explore the development, validation, and implementation of AI models for tasks such as image classification, segmentation, abnormality detection, and outcome prediction across various modalities including CT, MRI, and radiography. The scope also encompasses the evaluation of AI performance, its integration into clinical workflows, and the regulatory and policy considerations surrounding its use in healthcare.
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
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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.
Artificial IntelligenceQ1
Radiological and Ultrasound TechnologyQ1
Radiology, Nuclear Medicine and ImagingQ1
Subject Classification
Web of Science Categories
Computer Science, Artificial IntelligenceRadiology, Nuclear Medicine & Medical Imaging
Scopus Categories
Radiology, Nuclear Medicine and ImagingArtificial IntelligenceRadiological and Ultrasound Technology
Research Topics (OpenAlex)
Radiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and EducationAI in cancer detectionCOVID-19 diagnosis using AIRadiology practices and educationMedical Imaging and AnalysisAdvanced X-ray and CT ImagingLung Cancer Diagnosis and TreatmentMedical Imaging Techniques and ApplicationsDigital Radiography and Breast Imaging