Deep Learning-Assisted Classification of Urinary Red Blood Cell Morphology for Glomerular Hematuria Screening: A Pilot Study.
BACKGROUND: Distinguishing glomerular from non-glomerular hematuria remains challenging because urinary dysmorphic red blood cells (RBCs) are morphologically heterogeneous and affected by preanalytical and physicochemical factors. Multicenter validation with independent clinical reference standards is required before clinical implementation.
BACKGROUND: Distinguishing glomerular from non-glomerular hematuria remains challenging because urinary dysmorphic red blood cells (RBCs) are morphologically heterogeneous and affected by preanalytical and physicochemical factors. Multicenter validation with independent clinical reference standards is required before clinical implementation.
What the study was
- Study design
- Observational Study
- Category
- Diagnostics
- Maturity
- Validated
- Journal
- J Clin Lab Anal
Why it surfaced
Promising Phase I or early-phase study with preliminary clinical data; Topic: CBC-based diagnostics and ML in hematology; Score 6/10 → STANDARD priority
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