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Application of artificial intelligence technology based on deep learning in prognosis prediction model of gastric cancer

Application of artificial intelligence technology based on deep learning in prognosis prediction model of gastric cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400080733
Enrollment
Unknown
Registered
2024-02-05
Start date
2024-02-05
Completion date
Unknown
Last updated
2024-02-11

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

Conditions

Gastric cancer

Interventions

Training group (Pathological section picture modeling of experimental group):None
Validation group (The pathological section pictures of the verification group were put into the model to evaluate the model performance):None

Sponsors

Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: Patients of gastric cancer who received surgical treatment at our center from January 2016 to December 2021

Exclusion criteria

Exclusion criteria: Patients of gastric cancer undergoing surgical treatment without D2 lymph node dissection The histopathological section after operation with folds and tears

Design outcomes

Primary

MeasureTime frame
Postoperative survival of patients;

Secondary

MeasureTime frame
Staging of lymph node metastasis;

Countries

China

Contacts

Public ContactZhong Xin

Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou

15088921898@163.com+86 138 6810 8710

Outcome results

None listed

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