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The Emergence of Artificial Intelligence-Guided Karyotyping: A Review and Reflection
Lynne S Rosenblum1, Julia Holmes1,2, Agshin F Taghiyev1
1Department of Pathology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Genes
|June 26, 2025
Summary
Artificial intelligence (AI) is revolutionizing medical cytogenetics with AI-guided karyotyping. This technology streamlines chromosome analysis, offering accurate auto-karyotyped images for faster, more efficient laboratory workflows.
Area of Science:
- Medical Subspecialty
- Genetics
- Computational Biology
Background:
- Karyotyping is a crucial but labor-intensive cytogenetic analysis technique.
- Current karyotyping methods are time-consuming and require significant manual effort.
- The integration of artificial intelligence (AI) presents an opportunity to enhance efficiency.
Purpose of the Study:
- To provide an overview of available AI-guided karyotyping products for clinical use.
- To discuss the practical utilization of AI in cytogenetics laboratories.
- To highlight the impact of AI-guided karyotyping on early adopters and laboratory practices.
Main Methods:
- Review of currently available AI-guided karyotyping products.
- Discussion of AI algorithm integration into karyotyping software.
- Analysis of early user experiences and laboratory observations.
Main Results:
- AI algorithms streamline the karyotyping process, reducing manual labor.
- AI-guided systems provide accurate and abundant auto-karyotyped images.
- The technology alters the traditional paradigm of chromosome analysis.
Conclusions:
- AI-guided karyotyping offers a significant advancement in cytogenetics laboratory efficiency.
- Adaptation of laboratory practices is necessary to fully leverage AI technology.
- This innovation promises to improve the speed and accuracy of genetic analysis.
