Detecting Pseudothrombocytopenia in the Era of Artificial Intelligence: Integration of Automated Hematology, Digital Morphology, and Expert Review.
AI hematology platforms reliably detect a common lab error causing false low platelet counts, preventing unnecessary testing and treatment.
This narrative review consolidates available evidence and expert guidance on using AI-enabled hematology analyzers, digital morphology platforms, and anticoagulant alternatives to detect pseudothrombocytopenia—a common laboratory artifact causing false low platelet counts that triggers unnecessary testing and treatment. The review provides a clinical decision framework applicable to most laboratories with digital morphology capabilities.
What the study was
- Study design
- Narrative review
- Population
- General clinical laboratory patients; EDTA-induced pseudothrombocytopenia
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- Cureus
Why it surfaced
Practical clinical review addressing a common laboratory pitfall; AI-augmented approaches to pseudothrombocytopenia are directly relevant to hematology laboratory practice.
A plain-language summary of published research — not medical advice. Talk to a clinician about your own care.