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Prospective clinical study for artificial intelligence platform for lymph node pathology detection of gastric cancer

Prospective clinical study for artificial intelligence platform for lymph node pathology detection of gastric cancer

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR1900023282
Enrollment
Unknown
Registered
2019-05-20
Start date
2019-09-01
Completion date
Unknown
Last updated
2019-05-27

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

Conditions

gastric cancer

Interventions

1:Pathological Diagnosis of Artificial Intelligence
2:Traditional pathological diagnosis

Sponsors

Affiliated Hospital of Qingdao University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
40 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1. Patients aged 40-70 years with gastric cancer; 2. Gastric cancer patients were treated by operation; 3. Surgery is radical.

Exclusion criteria

Exclusion criteria: 1. Complicated with diabetes mellitus, rheumatic immune diseases, serious heart, brain and kidney and other systemic diseases; 2.Refuse to sign informed consent.

Design outcomes

Primary

MeasureTime frame
Clinical prognosis;

Secondary

MeasureTime frame
Quality of life after treatment;lifetime;

Countries

China

Contacts

Public ContactLu Yun

Affiliated Hospital of Qingdao University

cloudylucn@126.com+86 18661802231

Outcome results

None listed

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