Current Medical Imaging

Journal Impact Factor: 1.1
Scopus Cite Score: 1.9

Indexed in: Scopus, SCI Expanded, MEDLINE/PubMed

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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.
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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
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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
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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
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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
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Submission closes on: Jul 10, 2026
Quantum AI in Medical Image Analysis

The integration of quantum computing with artificial intelligence (AI) is reshaping the future of medical image analysis, introducing unprecedented computational capabilities and diagnostic precision. This special issue explores the transformative synergy between quantum algorithms—particularly quantum generative models—and state-of-the-art AI techniques in advancing healthcare diagnostics. From enhancing image resolution to enabling early disease detection and individualized treatment planning, contributions in this issue examine how quantum AI is revolutionizing biomedical data interpretation. By showcasing theoretical innovations, algorithmic... see more

Impact Factor: 1.1
Guest Editor(s): Dr. Anas Bilal
Co-Guest Editor(s): Faudillah Alhumairah,Dr. Raheem Sarwar
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Submission closes on: Jul 05, 2026
Quantum AI in Medical Diagnostics: Transforming Precision, Prediction, and the Healthcare System

In recent years, the intersection of Quantum Computing and Artificial Intelligence (AI)—commonly referred to as Quantum AI (QAI)—has emerged as a transformative force in various domains, with healthcare being one of the most promising areas of application. Medical diagnostics is increasingly dependent on large-scale, high-dimensional data such as medical images, genomic sequences, electronic health records, and sensor data from wearable devices. Traditional AI models, although powerful, face computational bottlenecks when dealing with such complex and... see more

Impact Factor: 1.1
Guest Editor(s): Dr. Chaitanya Singla
Co-Guest Editor(s): Jinchao Chen,Deepika Koundal,Gurpreet Singh,Weiwei Jiang,Ravneet Kaur
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Submission closes on: May 31, 2026
Advances in Medical Imaging for Women’s Diseases: Diagnostics, AI, and Personalized Care

This special issue will highlight cutting-edge advances in medical imaging that specifically target diseases disproportionately or exclusively affecting women. Despite significant technological progress, many conditions such as breast cancer, ovarian cancer, endometriosis, and pregnancy-related complications remain underdiagnosed or misdiagnosed due to gender-blind imaging approaches and limited availability of sex-specific biomarkers. With the integration of artificial intelligence (AI), radiomics, and multimodal imaging, there is a critical need for gender-sensitive innovations that improve early detection, diagnostic precision,... see more

Impact Factor: 1.1
Guest Editor(s): Dr. Akshi Kumar
Co-Guest Editor(s): M.P.S Bhatia,Dr. Saurabh Sangwan
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Submission closes on: Apr 02, 2026
Advanced Feature Extraction Techniques in Medical Imaging for Early Diagnosis of Complex Diseases.

Medical images are located and retrieved by convolution neural networks. It extracts powerful picture features for label description using deep learning technology. It then sends the relevant parameters to execute tag matching and identify the photos as queries. A variety of techniques, including statistical analysis, pre trained models, and mathematical transformations, can be used for feature extraction. Standard methods for processing images include texture analysis, edge detection, and colour based approaches. It obtains new features... see more

Impact Factor: 1.1
Guest Editor(s): Dr. Rabbia Mahum
Co-Guest Editor(s): Dr. Mohammed A. Elmeligy,Dr. Muhammad Awais,Dr. Haseeb Hassan
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