AI in Precision Oncology is the only peer-reviewed journal dedicated to the advancement of artificial intelligence applications in clinical and precision oncology. Spearheaded by Editor-in-Chief Douglas Flora, MD and supported by a diverse and accomplished team of international experts, the Journal provides a high-profile forum for cutting-edge research and frontmatter highlighting important research and industry-related advances rapidly developing within the field. The use of AI in oncology has the potential to revolutionize cancer care, from early detection to precision medicine. AI can assist in analyzing complex data, such as genomics, imaging, and electronic health records, to improve cancer diagnosis and treatment planning. Moreover, AI can help predict treatment responses, identify new drug targets, and facilitate clinical trials. The Journal's scope includes all aspects of AI in oncology, from basic research to clinical implementation. AI in Precision Oncology publishes original research articles, reviews, and perspectives on the application of artificial intelligence (AI) in cancer research, diagnosis, and treatment, bringing together researchers, clinicians, and industry experts to share their knowledge and experience in this rapidly evolving field. The Journal helps professionals in the field of oncology understand how artificial intelligence and technology solutions can be applied in an evidence-based, ethical, and thoughtful manner. Overall, the Journal seeks to promote AI's responsible and effective use in oncology, benefiting both healthcare providers and patients.