Recognition of Genetic Conditions After Learning With Images Created Using Generative Artificial Intelligence.

Journal: JAMA network open

PMID: 38488790

Abstract

IMPORTANCE: The lack of standardized genetics training in pediatrics residencies, along with a shortage of medical geneticists, necessitates innovative educational approaches.

Authors

Rebekah L Waikel
Amna A Othman

Medical Genomics Unit, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA. amna.othman@nih.gov.
Tanviben Patel

Medical Genetics Branch, National Human Genome Research Institute, Bethesda, Maryland, United States of America.
Suzanna Ledgister Hanchard

Medical Genetics Branch, National Human Genome Research Institute, Bethesda, Maryland, United States of America.
Ping Hu

Division of Cancer Prevention, National Cancer Institute, Canada.
Cedrik Tekendo-Ngongang

Medical Genomics Unit, National Human Genome Research Institute, Bethesda, MD.
Dat Duong
Benjamin D Solomon

Keywords

Abnormalities, Multiple Artificial Intelligence Child Educational Status Face Hematologic Diseases Humans Learning Recognition, Psychology Vestibular Diseases

External Resources

View on PubMed Access via DOI PubMed (38488790)

Recognition of Genetic Conditions After Learning With Images Created Using Generative Artificial Intelligence.

Abstract

Authors

Keywords

External Resources

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