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

https://pubmed.ncbi.nlm.nih.gov/38488790/ From the abstract: " In this comparative effectiveness study, generative methods were used to create images of fake but realistic-appearing individuals with Kabuki and Noonan syndrome. Through online surveys, generated images were found to help residents recognize these syndromes and improved their confidence in this area compared with text-only descriptions, although real images were most helpful. These findings suggest that generative artificial intelligence could supplement genetics education for pediatric residents by helping teach the recognition of rare conditions. "