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Artificial Intelligence in Medical Imaging is an international, peer-reviewed, open-access academic journal dedicated to publishing original, high-quality research findings in the field of medical imaging, including clinical, translational, and basic studies, as well as research involving artificial intelligence. The journal focuses on, but is not limited to, the following areas: Radiology, pathology image analysis, endoscopy, molecular imaging, and ultrasonography. Types of articles published by the journal include clinical study, basic study, case report, editorial, review, minireview, systematic review, meta-analysis, guidelines, and correspondence. All submissions undergo a rigorous and transparent peer-review process by at least two independent reviewers. Manuscripts are evaluated based on scientific rigor, originality, clinical relevance, and reproducibility, with particular attention to methodological robustness and data integrity. Constructive and timely feedback is provided to ensure the highest standards of scholarly communication. The journal adheres to the highest standards of publication ethics and editorial integrity, in accordance with the guidelines of the Committee on Publication Ethics, the International Committee of Medical Journal Editors, and the World Association of Medical Editors. To advance scientific discovery, promote evidence-based clinical practice, and foster innovation in medical imaging, ultimately improving global health outcomes. We invite researchers, clinicians, and multidisciplinary experts worldwide to submit high-quality manuscripts and contribute to shaping the future of medical imaging science. Submit an Article >>
- Jun Shen, MD, Professor, (E-mail: shenjun@mail.sysu.edu.cn) Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, Guangdong Province, China




