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Clinical Study on the Efficacy of Artificial Intelligence Large Models Combined with Novel Molecular Biomarkers in Accurate Identification of Pulmonary Nodules: A Multicenter Investigation

Clinical Study on the Efficacy of Artificial Intelligence Large Models Combined with Novel Molecular Biomarkers in Accurate Identification of Pulmonary Nodules: A Multicenter Investigation

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600119225
Enrollment
Unknown
Registered
2026-02-24
Start date
2026-03-01
Completion date
Unknown
Last updated
2026-03-02

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

Conditions

Pulmonary Nodules

Interventions

Gold Standard:Final pathological diagnosis
Index test:Artificial Intelligence Combined with Molecular Biomarkers

Sponsors

West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1 Aged 18-85 years; 2 Presence of a non-calcified nodule with diameter >= 4 mm on chest CT; 3 Expected survival time >= 1 year; 4 Willing to participate and provide signed informed consent.

Exclusion criteria

Exclusion criteria: 1 Patients with a confirmed pathological diagnosis of pulmonary nodules at enrollment; 2 Patients with poor general condition, such as severe hepatic or renal insufficiency; 3 Patients unable to comply with follow-up.

Design outcomes

Primary

MeasureTime frame
Diagnostic Accuracy;—

Secondary

MeasureTime frame
Sensitivity;Specificity;—

Countries

China

Contacts

Public ContactDan Liu

West China Hospital, Sichuan University

liudan10965@wchscu.cn+86 155 2828 9013

Outcome results

None listed

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