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Research on the Application of an Artificial Intelligence-assisted Pulmonary Function Curve Recognition Model in Predicting the Progression of Lung Function Impairment with a Preserved Ratio to COPD

Research on the Application of an Artificial Intelligence-assisted Pulmonary Function Curve Recognition Model in Predicting the Progression of Lung Function Impairment with a Preserved Ratio to COPD

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500115798
Enrollment
Unknown
Registered
2025-12-31
Start date
2026-01-01
Completion date
Unknown
Last updated
2026-01-05

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

Conditions

Chronic Obstructive Pulmonary Disease

Interventions

COPD group:No

Sponsors

The First Hospital Of Jiaxing
Lead Sponsor

Eligibility

Sex/Gender
All
Age
40 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1.Aged 40 to 80 years old; 2.Bronchial dilation test was completed (inhalation of 400 µg salbutamol); 3.The original pulmonary function curve must comply with the ATS/ERS standards (expiratory time = 6 seconds, repeatability error < 5%, and no obvious interruption in breathing movements);

Exclusion criteria

Exclusion criteria: 1.Those with severe heart and lung diseases (such as heart failure, lung cancer), neuromuscular diseases or thoracic deformities; 2.There is a history of acute respiratory tract infection or acute exacerbation of COPD within the recent three months; 3.Those with severe heart and lung diseases (such as heart failure, lung cancer), neuromuscular diseases or thoracic deformities;

Design outcomes

Primary

MeasureTime frame
Forced Expiratory Volume (FEV1); Forced Vital Capacity (FVC); Percentage of predicted FEV1;General information;—

Countries

China

Contacts

Public ContactShiyu Hu

The First Hospital Of Jiaxing

hushiyu0317@163.com+86 573 8997 6378

Outcome results

None listed

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