Current Medical Imaging

Journal Impact Factor: 1.1
Scopus Cite Score: 1.9

Indexed in: Scopus, SCI Expanded, MEDLINE/PubMed

View All
Aims and Scope:
Current Medical Imaging publishes frontier review articles, original research articles, case reports, drug clinical trial studies, and guest- edited thematic issues on all the latest advances on medical imaging dedicated to clinical research. All relevant areas are covered by the journal, including advances in the diagnosis, instrumentation, and therapeutic applications related to all modern medical imaging techniques including but not limited to:

  • Cardiac Imaging
  • Computed Tomography
  • Computer-aided Diagnosis
  • Machine Vision in Medicine
  • Magnetic Resonance
  • Medical Image Visualization
  • Medical Imaging and Analysis
  • Molecular Imaging
  • Musculoskeletal Imaging
  • Nuclear Medicine
  • Pattern Recognition in Medical Images
  • Pre-clinical Imaging
  • Vascular and Interventional Radiology
  • Women's and Pediatric Imaging
  • X-ray and Abdominal Imaging
  • Other related areas
The journal is essential reading for all clinicians and researchers involved in medical imaging and diagnosis.
Read more...
Start Submission Button Icon

Editor-in-Chief:

  • Euishin E. Kim Department of Radiological Sciences
    University of California
    Irvine, CA
    United States of America

ISSN: 1875-6603

Special Issues With Active Call for Papers

Submission closes on: Mar 13, 2027
Computer-Assisted Diagnosis in 4D Cardiac Medical Imaging

In modern medical technology, medical imaging (such as X-ray, computed tomography (CT) scan, magnetic resonance imaging (MRI), etc.) serves as a crucial diagnostic and therapeutic tool for human organs (including but not limited to the brain, heart, lungs, prostate, etc.) and plays an indispensable role. Among these technologies, four-dimensional (4D) cardiac medical imaging, which integrates spatial (3D) anatomical details with temporal (dynamic) physiological information has emerged as a important tool for assessing cardiac structure, function,... see more

Impact Factor: 1.1
Guest Editor(s): Dr. Mei Zhang
Co-Guest Editor(s): Dr. Nenad Filipovic,Dr. Jianqi Li
Start Submission
Submission closes on: Nov 21, 2026
Artificial Intelligence and Sustainability in Modern Medical Imaging: Opportunities, Challenges, and Future Directions

Medical imaging is at the forefront of healthcare innovation, with artificial intelligence (AI) and sustainability emerging as two defining themes for the future of clinical practice. AI applications are transforming diagnostic accuracy, workflow efficiency, and personalised care, while sustainability frameworks emphasise reducing energy consumption, carbon footprint, and environmental impact of imaging technologies. This thematic issue aims to integrate these parallel streams by presenting cutting-edge research, reviews, and case studies on AI in imaging, sustainable imaging... see more

Impact Factor: 1.1
Guest Editor(s): Dr. Mohamed M Abuzaid
Co-Guest Editor(s): Dr. Wiam Elshami
Start Submission
Submission closes on: Nov 08, 2026
AI and Deep Learning Applications in Healthcare Disease Diagnosis and Management

The integration of Artificial Intelligence (AI) and Deep Learning (DL) technologies into healthcare has brought transformative advancements in disease diagnosis, treatment planning, and patient management. The increasing volume of complex biomedical data including medical imaging, genomics, electronic health records (EHRs), and wearable device outputs has necessitated the use of intelligent computational approaches for accurate and efficient analysis. This special issue on AI and Deep Learning Applications in Healthcare Disease Diagnosis and Management aims to present... see more

Impact Factor: 1.1
Guest Editor(s): Dr. Sandeep Kumar Mathivanan
Co-Guest Editor(s): Manjula Sanjay Koti,Sathishkumar V E
Start Submission
Submission closes on: Aug 03, 2026
AI-Augmented Multimodal Imaging for Early Diagnosis and Precision Medicine

This mini-thematic issue focuses on the convergence of artificial intelligence (AI) and multimodal medical imaging technologies to facilitate early and accurate disease diagnosis, enable precision medicine, and reduce diagnostic delays. With the growing complexity of image-based data in clinical settings, conventional techniques often fall short in delivering accurate and timely insights. This issue invites original research and review papers showcasing the use of AI—especially deep learning, federated learning, and explainable models—for enhancing image fusion, segmentation,... see more

Impact Factor: 1.1
Guest Editor(s): Dr. Prabu S
Co-Guest Editor(s): Dr. Achyut Shankar,Karthikeyan Kaliyaperumal,Uma Maheshwari,Dr. Manoj Kumar
Start Submission