Cross-industry thematic analysis of generative AI best practices: applications and implications for surgical education and training

Hillary Lia, Angela G. Atkinson, Sergio M. Navarro

Research output: Contribution to journal › Article › peer-review

Original language	Undefined/Unknown
Journal	Global Surgical Education - Journal of the Association for Surgical Education
DOIs	https://doi.org/10.1007/s44186-024-00263-4
State	Published - May 16 2024

Publisher link

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title = "Cross-industry thematic analysis of generative AI best practices: applications and implications for surgical education and training",

author = "Hillary Lia and Atkinson, \{Angela G.\} and Navarro, \{Sergio M.\}",

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T1 - Cross-industry thematic analysis of generative AI best practices: applications and implications for surgical education and training

AU - Lia, Hillary

AU - Atkinson, Angela G.

AU - Navarro, Sergio M.

PY - 2024/5/16

Y1 - 2024/5/16

UR - https://doi.org/10.1007/s44186-024-00263-4

U2 - 10.1007/s44186-024-00263-4

DO - 10.1007/s44186-024-00263-4

M3 - Article

JO - Global Surgical Education - Journal of the Association for Surgical Education

JF - Global Surgical Education - Journal of the Association for Surgical Education

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