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Testing the LIRA AI tool for screening TB from chest X-rays in general hospital settings

Evaluation of Diagnostic Accuracy and Validation of LIRA: AI-Driven Radiological Software for Tuberculosis Screening and Other Abnormalities in Adult Chest X-Rays - EV LIRA

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/06/088028
Enrollment
5640
Registered
2025-06-02
Start date
Unknown
Completion date
Unknown
Last updated
2025-06-24

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

None listed

Sponsors

Indian Council of Medical Research
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Retrospective Phase: a. Archived chest X-ray images of adult patients, aged 18 years and older , collected within the last 6 months. b. Minimum image resolution of 1440 x 1440 pixels. c. Availability of corresponding microbiological test results. d. No prior diagnosis or treatment for active TB within the past 6 months. Prospective Phase: a. Adults aged 18 years and above presenting for chest X-rays due to suspected TB. b. Ability to comply with study procedures, including follow-up evaluations. d. No prior diagnosis or treatment for active TB within the past 6 months.

Exclusion criteria

Exclusion criteria: Retrospective phase: a. Incomplete or poor-quality CXR images. b. Patients under 18 years of age. c. Absence of corresponding microbiological test results or clinical data. d. Prior diagnosis or treatment for active TB within the past 6 months. Prospective Phase: a. Pregnant or lactating individuals (due to radiation exposure). b. Patients with severe respiratory distress require immediate clinical intervention. c. Patients under 18 years of age. d. Prior diagnosis or treatment for active TB within the past 6 months. e. Inability to comply with the study protocol due to cognitive impairments or severe comorbidities.

Design outcomes

Primary

MeasureTime frame
This study will evaluate the diagnostic accuracy of LIRA in TB screening and detection of other chest abnormalities by comparing its sensitivity and specificity to the performance with that of expert radiologistsTimepoint: 6 months—

Secondary

MeasureTime frame
This study will examine the impact of LIRA on clinical workflow efficiency, diagnostic speed, and the qualitative feedback from radiologists regarding its usability.Timepoint: 6 months—

Countries

India

Contacts

Public ContactDr Prashanth Thankachan

St.Johns Research Institute

prashanth.t@sjri.res.in08049467054

Outcome results

None listed

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