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Use of respiratory sounds using artificial intelligence for screening and diagnosis of respiratory diseases

Device validation study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2021/04/032742
Enrollment
1800
Registered
2021-04-12
Start date
Unknown
Completion date
Unknown
Last updated
2023-09-18

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

Conditions

Health Condition 1: J988- Other specified respiratory disorders

Interventions

None listed

Sponsors

DBT BIRAC
Lead Sponsor
Salcit Technologies Private Limited
Collaborator

Eligibility

Inclusion criteria

Inclusion criteria: 1. Patients able to read, understand and sign the Informed Consent Form. 2. Male or female patients, 18 years of age and over. 3. Patients presented with respiratory complaints (such as a new or worsened respiratory condition, acute cough, or onset of shortness of breath and respiratory diseases (Asthma, Bronchitis, COPD, ILD, Pneumonia), smokers and nonsmokers.

Exclusion criteria

Exclusion criteria: 1.Patients who require ventilation, flow of oxygen > 4 liters etc. must be excluded from the study. 2.Patients less than 18 years of age. 3.Pregnancy

Design outcomes

Primary

MeasureTime frame
Test the hypothesis that the Swaasa AI platform can detect the presence of underlying respiratory problem, the pattern of respiratory condition and its severity, and the likely presence of a respiratory disease using a combination of cough sound and/or breath sound characteristics in addition to symptoms.Timepoint: 9 months

Secondary

MeasureTime frame
Further test Swaasa AI platform can reliability predict the spirometry values based on cough sound characteristicsTimepoint: 12 months

Countries

India

Contacts

Public ContactNarayana Rao Sripada

Christian Medical College, Vellore

sujithchandy05@gmail.com9500254198

Outcome results

None listed

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