Skip to content

Using Artificial Intelligence to Analyze CT Scans For Lung Emphysema

Application/API Based Artificial Intelligence Enhanced Analysis Of Pulmonary Emphysema Using Computed Tomography Imaging Of Thorax - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/04/083926
Enrollment
80
Registered
2025-04-02
Start date
Unknown
Completion date
Unknown
Last updated
2025-04-28

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

Conditions

Health Condition 1: J439- Emphysema, unspecified

Interventions

Control Intervention1: NIL: NIL

Sponsors

Dr. Michael Antony Vikram
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1.Population Criteria: Individuals at varying stages of emphysema risk, including patients with existing CT scans and relevant data. 2.Medical History: Patients with complaints of new onset of breathlessness/documented respiratory conditions (including emphysema and related lung diseases) 3.CT Scan Data: High-quality CT scans showing clear lung structures. 4.Patients of both gender. 5.Patients who have provided informed consent to participate in the study.

Exclusion criteria

Exclusion criteria: 1.Patients who are pregnant. 2.Individuals with other chronic diseases, such as cancer, auto-immune disorders which might affect the study results, will not be included. 3.Patients with surgical history (especially involving the thorax) 4.Individuals with CT Scans of poor quality or artifacts that may compromise accurate assessment of lung parenchyma. 5.Patients who are unable to provide informed consent or participate in the study due to cognitive impairment, language barriers, or other reasons. 6.Patients who are not willing to be part of the study.

Design outcomes

Primary

MeasureTime frame
To detect the presence of emphysema using AI-driven analysis of CT scans of thoraxTimepoint: 24 hours

Secondary

MeasureTime frame
To assess the accuracy and clinical utility of the AI model.Timepoint: 1 week.

Countries

India

Contacts

Public ContactMichael Antony Vikram

Saveetha Medical College And Hospital, Saveetha Institute Of Medical And Technical Sciences

drmuthiahmd@gmail.com9843175404

Outcome results

None listed

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