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Artificial Intelligence-based Dietary Care System

NCT07637565 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 100

Last updated 2026-06-10

No results posted yet for this study

Summary

Patients with rectal cancer complicated by low anterior resection syndrome who undergo anal-preserving surgery may experience severe distress in daily life due to changes in bowel function, thus requiring significant post-discharge care support from healthcare professionals. This study is a multicenter, non-blinded randomized controlled trial. One hundred patients with rectal cancer complicated by low anterior resection syndrome are planned to be randomly assigned in a 1:1 ratio from the colorectal surgery outpatient clinics of National Taiwan University Hospital, its Cancer Center, and its Yunlin Branch. They will be divided into a control group receiving routine dietary education and an experimental group receiving both routine dietary education and the use of an artificial intelligence-based dietary care system application. The artificial intelligence-based dietary care system application will be used for approximately six months. Three questionnaires will be administered at one month post-surgery (before intervention), three months post-surgery, and six months post-surgery. The questionnaires will include: a demographic data sheet, a low anterior resection syndrome score, distress inventory from altered bowel functioning, and the European Organization for Research and Treatment of Cancer QLQ-30 Scale, to verify the effectiveness of the artificial intelligence-based dietary care system application in improving bowel disturbance and quality of life in patients with rectal cancer complicated by low anterior resection syndrome.

Conditions

  • AI Care Device

Interventions

DEVICE

Artificial Intelligence-based Dietary Care System

1. Large language model-based communication for patient interaction, system guidance, analytic feedback, dietary recommendations, and referral information. 2. AI-driven image analysis using regional convolutional neural networks, linked to a database of over 100,000 meals and national dietary reference standards, enabling estimation of food types, portions, and nutrient intake. 3. Bowel movement tracking interface for recording time, frequency, and stool characteristics.

OTHER

Routine Care

Content covers postoperative dietary progression, nutritional supplementation, intake principles, and food avoidance. The postoperative regimen typically advances through four stages-clear liquid, low-residue semi-liquid, low-residue soft, and regular diet-with most patients resuming normal intake within one month. Guidance emphasizes high-protein, high-calorie foods, small frequent meals, and balanced nutrition, while advising avoidance of gas-producing, odorous, coarse-fiber, greasy, spicy, pickled, and dairy products.

Sponsors & Collaborators

  • National Taiwan University Hospital

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-07-01
Primary Completion
2027-12-31
Completion
2028-12-31

Countries

  • Taiwan

Study Locations

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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 NCT07637565 on ClinicalTrials.gov