Comparing new tools of artificial intelligence to the authentic intelligence of our global health students

Abstract Introduction The transformative feature of Artificial Intelligence (AI) is the massive capacity for interpreting and transforming unstructured data into a coherent and meaningful context. In general, the potential that AI will alter traditional approaches to student research and its evaluat...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Shilpa R. Thandla, Grace Q. Armstrong, Adil Menon, Aashna Shah, David L. Gueye, Clara Harb, Estefania Hernandez, Yasaswini Iyer, Abigail R. Hotchner, Riddhi Modi, Anusha Mudigonda, Maria A. Prokos, Tharun M. Rao, Olivia R. Thomas, Camilo A. Beltran, Taylor Guerrieri, Sydney LeBlanc, Skanda Moorthy, Sara G. Yacoub, Jacob E. Gardner, Benjamin M. Greenberg, Alyssa Hubal, Yuliana P. Lapina, Jacqueline Moran, Joseph P. O’Brien, Anna C. Winnicki, Christina Yoka, Junwei Zhang, Peter A. Zimmerman
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2024-12-01
coleção:	BioData Mining
Acesso em linha:	https://doi.org/10.1186/s13040-024-00408-7
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!