Skip to content

Establishment and Validation of an AI Model for COPD Identification and Assessment Based on Multimodal Data (Respiratory Sounds & Chest Imaging &Others)

Establishment and Validation of an AI Model for COPD Identification and Assessment Based on Multimodal Data (Respiratory Sounds & Chest Imaging & Others)

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600125216
Enrollment
Unknown
Registered
2026-05-22
Start date
2025-07-02
Completion date
Unknown
Last updated
2026-05-25

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

Conditions

Chronic obstructive pulmonary disease, COPD

Interventions

Gold Standard:lung function test
Index test:Multimodal Artificial Intelligence Model Integrating Respiratory Sounds and Chest Imaging

Sponsors

Shanghai East Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Male or female, aged >= 18 years old and <= 80 years old; 2. Patients who visit the multi-center screening points on their own and voluntarily participate in this study; 3. Having at least one set of chest CT scan images and corresponding written reports; 4. Being able to understand and complete the pulmonary function test procedures; 5. The subject (or his/her guardian) is able to understand the purpose of the study, agrees to participate in this study and has signed the informed consent form.

Exclusion criteria

Exclusion criteria: 1. Those with a large amount of missing data, low data credibility, or who are unable to cooperate with the research process; 2. Those who are considered by the researchers to be unsuitable for inclusion.

Design outcomes

Primary

MeasureTime frame
Accuracy;

Secondary

MeasureTime frame
Sensitivity;Specificity;

Countries

China

Contacts

Public ContactLi Qiang

Shanghai East Hospital

liqressh@hotmail.com+86 21 3880 4518

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 30, 2026