EICHORCondition: Bacterial Infections · Sponsor: GramEye
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The goal of this observational study is to develop AI that detects and classifies Acid-Fast Bacilli from microscope images using anonymized and fixed glass slides.
This description comes directly from the study's public registry record.
Tatsuya Yamada, M.D. · 7028060149 · tatsuya.yamada@grameye.com
There is no obligation to join — the study team can answer your questions about taking part.
Always discuss trial participation with your own doctor first.
Inclusion Criteria: * Patients in whom acid-fast bacilli(AFB) smear test was ordered Exclusion Criteria: * No exclusion criteria
Reproduced word-for-word from the public registry record — the study team can answer questions about it.
| Osaka University Hospital | Suita, Osaka, Japan | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06519032