Impact Evaluation of Use of MATCH AI Predictive Modelling for Identification of Hotspots for TB Active Case Finding
- Disease/Condition
- Tuberculosis
- Drug/Device/Intervention
- Camps site selection for active case finding for TB using MATCH-AI
- Study type
- Interventional
- Intervention type
- other
- Primary sponsor
- Centre for Global Public Health Pakistan
- Phase
- N/A
- Start date
- Sep 01, 2023
- End date
- Dec 01, 2024
- Enrollment
- 180000 participants
Camp positivity yield
The aim of this pragmatic, stepped wedge cluster-randomized trial is to measure the
 comparative yield (number of incident TB cases diagnosed during active case-finding camps)
 using a site selection approach based on predictions generated via an artificial intelligence
 software called MATCH-AI (intervention group) versus the conventional approach of camp site
 selection using field-staff knowledge and experience (control group). The trial will help
 inform whether a targeted approach towards screening for TB using artificial-intelligence can
 improve yields of TB cases detected through community-based active case-finding.
- Registry
- ClinicalTrials.gov
- Trial ID
- NCT06017843
- Type
- Non-Device Trial
Access comprehensive clinical trial information for NCT06017843 through Pure Global AI's free database. This phase not specified trial is sponsored by Centre for Global Public Health Pakistan and is currently Not yet recruiting. The study focuses on Tuberculosis. Target enrollment is 180000 participants.
This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.