Artificial intelligence is rapidly transforming cytogenetic analysis, enabling laboratories to improve efficiency while maintaining diagnostic accuracy.
This study evaluates a scanner-agnostic AI add-on utility designed to integrate with existing imaging platforms and automate karyotyping workflows.
The results demonstrate a significant reduction in metaphase analysis time compared with conventional software, supporting the use of AI-assisted tools as a cost-effective strategy to modernize cytogenetic laboratories and improve turnaround times.