AI diagnostic assistance for central bronchial lesions in bronchoscopy examination

AI diagnostic assistance for central bronchial lesions in bronchoscopy examination - AI in bronchoscopy diagnosis

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000051923

Enrollment

3000

Registered

2023-08-16

Start date

2017-06-01

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

central bronchial lesions

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients who underwent bronchoscopy for central lesions

Exclusion criteria

Exclusion criteria: 1. Pathologic diagnosis unknown; 2. Poor endoscopic findings; 3. Other (data incomplete, patient opt-out, etc.).

Design outcomes

Primary

Measure	Time frame
Diagnostic sensitivity and specificity for malignant tumors	—

Secondary

Measure	Time frame
Presence or absence of EGFR mutation, degree of PD-L1 TPS	—

Countries

Japan

Contacts

Public ContactHao Chen

Yokohama CIty Univeristy Department of pulmonary

chinsmd@gmail.com045-787-2511

Outcome results