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NOT YET RECRUITING
NCT07136727
NA

AI-Assisted Comprehensive Management for Cancer Patients With Comorbidities (GCOG-CG001)

Sponsor: The First Affiliated Hospital of Xinxiang Medical College

View on ClinicalTrials.gov

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

OTHER

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