Combined with the digital whole process management data pool, a multi-modal data fusion framework is developed, and an AI model is established to realize risk stratification and personalized treatment Recommendation and dynamic prognosis prediction; validation of whole-process management based on multimodal digital fusion AI-aided decision support system through prospective non-randomized controlled interventional study The effect on survival, complication control and utilization of medical resources in patients with comorbid malignant tumors.
Patients with a definite diagnosis of malignancy by histopathology and/or cytology;
Age ≥18 years;
There is no gender limit
Plan to receive antineoplastic therapy within 2 weeks or are receiving standard antineoplastic care (surgery, radiation, chemotherapy, or targeted therapy) ;
Having severe mental or cognitive impairments that prevent them from understanding the content of the study or implementing the programme;
With severe heart disease, acute respiratory failure, liver kidney failure and other critical illness;
Women during pregnancy or lactation；
Have participated in other interventional studies in the past 1 month or are currently participating;