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

By consolidating the most significant advancements in this multidisciplinary field, our journal serves as a communication platform, fostering collaborations among established and young investigators of oncology, pathology, radiology, cancer biology, drug discovery, and computer and data sciences. We strive to bridge the gap between these disciplines and facilitate the exchange of knowledge, ultimately driving innovation in the field of intelligent oncology.