This journal publishes research on the application of artificial intelligence, machine learning, and signal processing techniques to analyze and interpret various types of medical data. Topics include image segmentation and enhancement, diagnostic systems, neuroimaging analysis, and the development of computational frameworks for medical data.
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.
Computer Science (miscellaneous)Q3
Radiological and Ultrasound TechnologyQ3
Radiology, Nuclear Medicine and ImagingQ3
Biomedical EngineeringQ4
Health InformaticsQ4
Subject Classification
Web of Science Categories
Engineering, Biomedical
Scopus Categories
Radiology, Nuclear Medicine and ImagingComputer Science (miscellaneous)Biomedical EngineeringHealth InformaticsRadiological and Ultrasound Technology
Research Topics (OpenAlex)
EEG and Brain-Computer InterfacesAdvanced Radiotherapy TechniquesMedical Image Segmentation TechniquesAdvanced X-ray and CT ImagingECG Monitoring and AnalysisRetinal Imaging and AnalysisRadiation Dose and ImagingRadiation Therapy and DosimetryBrain Tumor Detection and ClassificationAI in cancer detection