Abstract: Tumors pose a significant threat to human health. With advancements in technology, digital intelligence is increasingly being integrated into tumor diagnosis and treatment, not only to promote innovative diagnostic and therapeutic methods but also to offer a new perspective for prognostic analysis. This article focuses on the current status and prospects of digital intelligence in tumor diagnosis and treatment,outlining the digital intelligence diagnostic process and treatment model established for tumors and elucidating the deep learning and machine learning technologies it relies upon.The emphasis is on the application of the digital intelligence model in crucial areas, such as tumor diagnosis and therapeutic decisions, therapeutic effect predictions, and disease prognosis evaluations. The current challenges in digital intelligence for tumor diagnosis and treatmentare also analyzed, suggesting strategies to address these challenges. The article underscores the position of digital intelligence technology in today's medical field and proposes to combine data-driven and knowledge-guided research paradigms for further enhancement of the overall level of tumor diagnosis and treatment.