Eye Diabetic retinopathy screening Autonomous artificial intelligence 105914-6
LOINC Code
| LOINC code | 105914-6 | ||
|---|---|---|---|
| name | Eye Diabetic retinopathy screening Autonomous artificial intelligence | ||
| description | This term is for an FDA-cleared autonomous artificial intelligence software that analyzes retinal fundus images to detect the presence or absence of more than mild diabetic retinopathy. | ||
| status | ACTIVE | ||
Fully-Specified Name | |||
| component | Diabetic retinopathy screening | ||
| property | Find = Finding | ||
| time | Pt = Point in time: To identify measures at a point in time. This is a synonym for “spot” or “random” as applied to urine measurements. | ||
| system | Eye | ||
| scale | Ord = Ordinal: Ordered categorical responses, e.g., 1+, 2+, 3+; positive, negative; reactive, indeterminate, nonreactive. | ||
| method | Autonomous artificial intelligence | ||
Additional Names | |||
| short name | Eye DR Screening AAI | ||
Basic Attributes | |||
| class | EYE.PX | ||
| type | 2 Clinical | ||
| order vs. observation | Observation | ||
Associated Observations | |||
LOINC codes that represent optional associated observation(s) for a clinical observation or laboratory test. A LOINC term may represent a single associated observation or panel containing several associated observations. | |||
History/Usage | |||
| first released | |||
| last updated | 2.78 | ||
| last change type | ADD - added | ||
Related Names | |||
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