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Artificial Intelligence in Cancer is a rigorously peer-reviewed, open-access academic journal dedicated to publishing original, high-quality research findings in the field of cancer, including clinical, translational, and basic studies. The journal focuses on, but is not limited to, the following areas: Bone oncology, breast cancer, gastrointestinal cancer, genitourinary cancer, gynecological cancer, head and neck cancer, hematologic malignancy, lung cancer, lymphoma and myeloma, pediatric oncology, and urologic oncology. Types of articles published by the journal include clinical study, basic study, case report, editorial, review, minireview, systematic review, meta-analysis, guidelines, and correspondence. The journal sincerely welcomes experts and scholars to submit original research manuscripts. Each submission will be reviewed by at least two independent referees, who will critically assess its novelty, significance, and reproducibility, as well as any flaws in experimental design and data processing, in order to provide authors with meaningful peer review reports. The journal adheres to editorial policies, peer-review processes, editorial processes, and publication ethics guidelines developed by the editorial office in accordance with the Committee on Publication Ethics, the International Committee of Medical Journal Editors, and the World Association of Medical Editors. By doing so, the journal strives to provide authors with high-quality services, offer readers high-quality academic content, and further advance clinical practice. Submit an Article >>
- Cédric Coulouarn, PhD, Senior Researcher, (Email: cedric.coulouarn@inserm.fr) Institut National de la Sante et de la Recherche Medicale, Univ Rennes, Rennes 35033, France
The AIC is now abstracted and indexed in Reference Citation Analysis, China Science and Technology Journal Database.
There is currently no impact factor.





