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Background
Non‐anemic thalassemia trait (TT) accounted for a high proportion of TT cases in South China.
Objective
To use artificial intelligence (AI) analysis of erythrocyte morphology and machine learning (ML) to identify TT gene carriers in a non‐anemic population.
Methods
Digital morphological data from 76 TT gene carriers and 97 controls were collected. The AI technology‐based Mindray MC‐100i...