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Evaluation of detection of Pulmonary TB by computer aided technology

A Pilot Study on feasibility of improving TB Detection using an AI software for CXR screening along with GeneXpert

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2021/09/036270
Enrollment
1500
Registered
2021-09-06
Start date
Unknown
Completion date
Unknown
Last updated
2021-11-24

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

Conditions

Health Condition 1: A150- Tuberculosis of lung

Interventions

Intervention1: NIL: NIL Control Intervention1: NIL: NIL

Sponsors

Cepheid
Lead Sponsor
Qure AI
Collaborator

Eligibility

Inclusion criteria

Inclusion criteria: Presumptive TB patients identified by the clinician/physician based on with symptoms suggestive of TB or with high risk for TB Patients getting their X-Rays recorded for non-TB related reasons and incidentally detected by the software as having radiological signs of TB based on their chest X-Ray.

Exclusion criteria

Exclusion criteria: Chest Xrays of patients below 6 years not included in the study.

Design outcomes

Primary

MeasureTime frame
1.Sensitivity, Specificity of AI based TB reporting 2.Reduction in time to diagnosis of TB from the chest xray Timepoint: 6 months—

Secondary

MeasureTime frame
1.Additional TB case notifications 2.Gains in diagnostic yield of GeneXpert testTimepoint: 6 months—

Countries

India

Contacts

Public ContactDr Asha Thomas

Bangalore Baptist Hospital

asha68naveen@gmail.com8762013211

Outcome results

None listed

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