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The Application of Artificial Intelligence in Bronchoscopy combined with Rapid Field Evaluation of Cytology (C-ROSE)

The Application of Artificial Intelligence in Bronchoscopy combined with Rapid Field Evaluation of Cytology (C-ROSE)

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600119832
Enrollment
Unknown
Registered
2026-03-04
Start date
2024-01-01
Completion date
Unknown
Last updated
2026-03-09

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

Conditions

Lung infection, lung tumor

Interventions

Observation group:None

Sponsors

Zhejiang Provincial People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.From January 2024 to December 2026, patients who underwent fiberoptic bronchoscopy, biopsy tissue, cytology smears.

Exclusion criteria

Exclusion criteria: 1.The patient refused to accept the pathological diagnosis assisted by artificial intelligence for rapid on-site evaluation of cytology; 2.The amount of biopsy tissue is too small to be made into cytological slices;

Design outcomes

Primary

MeasureTime frame
Pathological type;—

Countries

China

Contacts

Public ContactTing Duan

Zhejiang Provincial People's Hospital

duanting@hmc.edu.cn+86 571 8589 3289

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Mar 14, 2026