Observational Study to Develop AI for Rapid Identification of Acid-Fast Bacilli in Bacterial Infection Tests Using Image Analysis

What this Trial Is About

This observational study aims to develop artificial intelligence AI technology that can detect and classify Acid-Fast Bacilli AFB in microscope images. The AI will be trained and evaluated using anonymized and fixed glass slides to improve rapid bacterial species identification related to bacterial infections. The research is sponsored by GramEye and focuses on enhancing diagnostic accuracy for these infections. The study does not involve treatments or interventions but collects microscope images of AFB smears to develop and assess the AI system. There are no study groups or drug therapies involved. The AIs performance will be compared to actual culture results to measure agreement in detecting the presence or absence of acid-fast bacteria. Participants are patients who have had an AFB smear test ordered. Researchers will analyze microscope images from these patients without impacting their usual care. The main outcome measured is how well the AIs results match actual culture findings on day one. There are no additional tests or follow-ups required, and participation involves only data collection from existing samples.

Development and Evaluation of Rapid Bacterial Species Identification for Acid-Fast Bacilli Smear Using Image Analysis AI