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AI-based System for Lung Tuberculosis Screening: Diagnostic Accuracy Evaluation

NCT05889364 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 308

Last updated 2023-06-05

No results posted yet for this study

Summary

Testing of AI solutions to assess diagnostic accuracy for tuberculosis detection.

Conditions

  • Tuberculosis, Pulmonary

Interventions

DIAGNOSTIC_TEST

AI-based x-ray analysis and triage ("normal/tuberculosis suspected")

All included x-rays will be analysed by the AI-based system. Then results will be compared with opinions of 2 experienced radiologists (they make peer-review of all included images independently of each other).

Sponsors & Collaborators

  • Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

    lead OTHER

Principal Investigators

  • Anton Vladzymyrskyy · Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-02-01
Primary Completion
2018-03-15
Completion
2023-12-30

Countries

  • Russia

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05889364 on ClinicalTrials.gov