Intelligent Oncology is an interdisciplinary academic journal focused on the intersection of medicine and engineering, with a core emphasis on artificial intelligence (AI) in oncology. Our journal is dedicated to publishing research articles, review articles, short communications, technical notes, correspondence, discussions, editorials, guidelines and consensus, patent reports and conference reports. By curating the most significant advancements in this multidisciplinary domain, we strive to foster both theoretical and applied research in the integration of clinical oncology, information science, biology, radiology, pathology and other relevant disciplines. Subjects considered for publication include, but are not limited to: Artificial intelligent technologies in oncology AI-assisted applications in clinical oncology Innovative algorithms and medical interpretability AI-driven oncological drug discovery and development AI-guided clinical trials in oncology Digital and computational pathology Cancer imaging processing AI in laboratory medicine AI-driven radiation oncology Robotic automation processing and surgery AI-assisted rehabilitation Guidelines and consensus for AI applications AI-assisted bio-informatics and bio-statistics Big data science in oncology AI-guided cancer biology AI in cancer epidemiology Patient privacy and data security Public data sharing
