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PGHD-AI Intelligent Model for the Nutritional Assessment and Intervention of Patients After Radical Surgery for Pancreatic Cancer.

NCT07167264 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 200

Last updated 2025-09-11

No results posted yet for this study

Summary

This study will collect patient PRO (physical strength, pain, defecation, appetite, weight, etc.) data through the APP, use corpus collection cards, facial photography and other technologies to collect PGHD characteristic phenotypes, and then combine artificial intelligence technology to train and cultivate agents (agents) to carry out joint offline routine follow-up of patients after radical pancreatic cancer resection to evaluate the feasibility of nutritional risk assessment intervention. Thus, the feasibility of artificial intelligence prediction of health status is verified, and an efficient follow-up tool and nutritional support evaluation plan are provided for the management of pancreatic cancer patients throughout the course of the disease, so as to improve the treatment prognosis and quality of life of pancreatic cancer patients.

Conditions

Interventions

OTHER

PGHD's AI intelligent model(APP)

To collect patient PRO (physical strength, pain, defecation, appetite, weight, etc.) data through the PGHD's AI intelligent model(APP), and use corpus collection cards, facial photography and other technologies to collect PGHD characteristic phenotypes.

Sponsors & Collaborators

  • Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-07-16
Primary Completion
2026-05-31
Completion
2026-05-31

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07167264 on ClinicalTrials.gov