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...
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| Main Authors: | 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 |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-12-01
|
| Series: | BioData Mining |
| Online Access: | https://doi.org/10.1186/s13040-024-00408-7 |
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