Accurate detection of metaphase cells is a critical step in cytogenetic analysis, particularly for samples with low mitotic index.
This multicenter pilot study evaluates a new AI-based metaphase finder algorithm designed to improve detection during slide scanning.
The findings show that the AI model identifies significantly more metaphases while reducing the capture of non-metaphase material, enhancing both efficiency and reliability in routine karyotyping workflows.