AI-scending the scope: Perspectives on the integration and utilization of artificial intelligence and machine learning in genetic counseling graduate programs.

Ofir Feuer¹, Kyla Holmes¹, Sarah Kane², Kathryn M Curry³, Daria Ma⁴, Chloe A Chatwin¹, Marie Chuldzhyan¹, Emily Quinn⁵, Nicholas Gorman⁵

¹Keck Graduate Institute, Claremont, California, USA.

²Memorial Sloan Kettering Cancer Center, New York, New York, USA.

³Genomenon, Inc., Ann Arbor, Michigan, USA.

⁴Smidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, California, USA.

⁵University of California, Los Angeles, Los Angeles, California, USA.

PubMed DOI

Abstract

Increased utilization of artificial intelligence (AI) and machine learning (ML) in genomic medicine and genetic counseling necessitates a well-trained workforce. However, research on the attitudes toward and uptake of AI/ML education among genetic counseling graduate programs (GCGPs) is limited. This mixed-methods study investigated the attitudes, preparedness, and future plans of GCGP leadership…

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Mentioned Companies

Genomenon
affiliation

Other Funding

National Society of Genetic Counselors (NSGC)

MeSH Terms

Humans0Genetic Counseling*Artificial Intelligence*Machine Learning*Surveys and Questionnaires0Curriculum0Male0Female0Education, Graduate*

Keywords

artificial intelligenceattitudes and preparednessbarriers to integrationcompetenciescurriculum developmenteducational training needsgenetic counseling educationgenetic counseling graduate programshealthcare technologymachine learningmixed‐methods studypractice‐based competenciesprogram leadership perspectivesthematic analysis

Article Info

PMID: 40762288
DOI: 10.1002/jgc4.70065
Received: October 28, 2024
Accepted: May 30, 2025

How to Cite

Feuer O et al. AI-scending the scope: Perspectives on the integration and utilization of artificial intelligence and machine learning in genetic counseling graduate programs. J Genet Couns2025;34(4):e70065. doi:10.1002/jgc4.70065

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