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Development and validation of a predictive algorithm for the total length of the small intestine using artificial intelligence techniques for application in bariatric surgery

Crossref DOI link: https://doi.org/10.1016/j.cireng.2025.800124

Published Print: 2025-07

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Fernando Trebolle, José

Solano Murillo, Jorge

Lobo Poyo, Jesús

Pellicer Lostao, Carmen

Valero Sabater, Mónica

Tirado Anglés, Gabriel

Cantarero Carmona, Irene

Luesma Bartolomé, María José
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Text and Data Mining valid from 2025-07-01

Text and Data Mining valid from 2025-07-01
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This article is maintained by: Elsevier

Article Title: Development and validation of a predictive algorithm for the total length of the small intestine using artificial intelligence techniques for application in bariatric surgery

Journal Title: Cirugía Española (English Edition)

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.cireng.2025.800124

CrossRef DOI link to the associated document: https://doi.org/10.1016/j.ciresp.2025.800124

Content Type: article

Copyright: © 2025 Published by Elsevier España, S.L.U. on behalf of AEC.

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