Artificial Intelligence Integration in Medical Imaging
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 16
Special Issue Editors
Interests: biometrics; medical imaging; image processing; speaker identification; iris recognition
Interests: radiation detection; Monte Carlo simulation; radiation; ionizing radiation; radiation protection; radiation dosimetry; radiation physics; C++; radioactivity emission
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Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) has emerged as a transformative force in the field of medical imaging, offering new possibilities for diagnosis, prognosis, treatment planning, and workflow optimization. By harnessing techniques such as deep learning, computer vision, and generative modeling, AI systems can analyze complex imaging data with unprecedented accuracy and efficiency, supporting clinicians in making more informed decisions and improving patient outcomes.
Despite notable progress, important challenges remain in translating AI into real-world clinical practice. These include the need for robust validation, interpretability, data harmonization across institutions, and the integration of multimodal information such as electronic health records, pathology, and genomics. This Special Issue seeks to explore cutting-edge research, novel methodologies, and practical applications of AI in medical imaging across various domains.
We invite original research articles, reviews, and case studies that address the development, validation, and clinical implementation of AI technologies in medical imaging. Interdisciplinary contributions that connect AI with real-world data, regulatory perspectives, or clinical trials are especially welcome.
Dr. Agnieszka Stankiewicz
Prof. Dr. Adam Konefał
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- medical imaging
- deep learning
- computer vision
- clinical decision support
- image analysis
- radiomics
- multimodal integration
- real-world data
- explainable AI
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