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Develop a quality control evaluation system for AI-assisted laparoscopic radical gastrectomy and apply it to clinical practice

Development and Application of an AI-Assisted Quality Control and Evaluation System for Laparoscopic Radical Gastrectomy

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600116848
Enrollment
Unknown
Registered
2026-01-15
Start date
2024-01-01
Completion date
Unknown
Last updated
2026-01-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Gastric cancer

Interventions

Gastric Cancer Observation Group:None

Sponsors

ganzhou people's hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age >= 18 years old; 2. Gender: No restrictions; 3. Patients diagnosed with gastric cancer according to the "Chinese Society of Clinical Oncology (CSCO) Gastric Cancer Diagnosis and Treatment Guidelines 2024 Edition" and whose stage is I-III; 4. Received laparoscopic radical gastrectomy in accordance with the treatment process and agreed to retain the original surgical video.

Exclusion criteria

Exclusion criteria: 1.The original surgical video has low clarity and incomplete recording duration; 2.Judged by the researchers as unsuitable for participation in this study;

Design outcomes

Primary

MeasureTime frame
Accuracy of AI model in recognizing surgical phases in surgical videos;—

Secondary

MeasureTime frame
Clinical application effect indicators of AI models;—

Countries

China

Contacts

Public ContactTao Chen

Southern Hospital, Ganzhou Hospital (Ganzhou People's Hospital)

13911111111@163.com+86 797 588 9157

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026