UnknownNot Applicable

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

Russia308 participantsStarted 2018-02-01

Plain-language summary

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

Who can participate

Age range18 Years – 80 Years

SexALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * no pathology in a lung on chest x-ray * signs of lung tuberculosis on chest x-ray Exclusion Criteria: * any pathology in the lungs (except tuberculosis)

What they're measuring

Diagnostic accuracy metric 1

Timeframe: Day 1 upon receipt of data

Diagnostic accuracy metric 2

Timeframe: Day 2 upon receipt of data

Diagnostic accuracy metric 3

Timeframe: Day 3 upon receipt of data

Diagnostic accuracy metric 4

Timeframe: Day 4 upon receipt of data

Diagnostic accuracy metric 5

Timeframe: Day 5 upon receipt of data

Diagnostic accuracy metric 6

Timeframe: Day 6 upon receipt of data

Trial details

NCT IDNCT05889364

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

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2018-03-15

View on ClinicalTrials.gov More Tuberculosis, Pulmonary trials