Clinical Updates in the Use of Artificial Intelligence for Radiology
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Nuclear Medicine & Radiology".
Deadline for manuscript submissions: 25 January 2026 | Viewed by 588
Special Issue Editor
2. Department of Radiology, Columbia College of Physicians and Surgeons, New York, NY 10032, USA
Interests: body imaging; magnetic resonance imaging (MRI); MR angiography; MRA; polycystic kidney disease; peripheral artery disease; living donor transplantation; organ volume measurements
Special Issue Information
Dear Colleagues,
Artificial intelligence has great promise to augment the impact of imaging in medicine. This Special Issue invites articles that relate to AI in radiology, including choosing the optimal examination, automated protocoling, image reconstruction, image denoising and other enhancements, automated image analysis, automating image acquisition, automated reporting, triaging cases for urgent interpretation, imaging follow-up, and any other aspect of AI for improving clinical radiology. Image analysis can include automating the detection of abnormalities, functioning as a second reader, obtaining quantitative information from images reproducibly and without observer bias, and extracting metrics relating to health which are not normally analyzed by radiologists to enhance the imaging value to patients. Articles describing how AI tools are impacting clinical outcomes in radiology are particularly encouraged. Articles utilizing AI for image quality control are also welcome.
Prof. Dr. Martin R. Prince
Guest Editor
Manuscript Submission Information
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Keywords
- deep learning
- denoising
- calculator
- nn-UNet
- automation
- outcomes
- quality control
- DICE
- Halsdorrf
- Jaccard
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