Bacterial Infections
Conditions
Brief summary
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.
Interventions
None listed
Sponsors
Osaka University
Keio University
Fukujuji Hospital
GramEye
Study design
Observational model
CASE_ONLY
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
Inclusion criteria
* Patients in whom acid-fast bacilli(AFB) smear test was ordered
Exclusion criteria
* No
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Rate of concordance between AI-estimated results with actual culture results regarding the presence or absence of acid-fast bacteria | Day1 | Evaluate the difference between actual medical record reports(such as culture results) and AI-estimated results regarding the presence or absence of acid-fast bacteria |
Countries
Japan
Contacts
Primary ContactTatsuya Yamada, M.D.
Outcome results
None listed