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AI-Assisted Comprehensive Management for Cancer Patients With Comorbidities (GCOG-CG001)
Sponsor: The First Affiliated Hospital of Xinxiang Medical College
Summary
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.
Official title: The Impact of Multimodal Digital Fusion AI-Assisted Decision Support System-Based Comprehensive Management on Clinical Outcomes in County-Level Patients With Comorbid Cancer:A Prospective Non-randomized Controlled Interventional Study.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
5000
Start Date
2025-08-15
Completion Date
2031-05-01
Last Updated
2025-08-22
Healthy Volunteers
No
Interventions
AI-assisted comprehensive management system
Precision Risk Stratification and personalized treatment recommendation through AI models may improve the suitability of treatment regimens and thus reduce the incidence of antineoplastic therapy-related adverse effects (e.g. , reduction of chemotherapy toxicity through nutritional intervention) , and improve the efficacy of chemotherapy, and prolonged progression-free survival (PFS) and overall survival (OS)
Locations (1)
The First Affiliated Hospital of Xinxiang Medical University
Xinxiang, Henan, China