Application of Artificial Intelligence Models in Predicting Clinical Outcomes after Nerve Block in Orthopedic Surgery

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Rivadulla Brey, Jorge
Pardo-Rodríguez, Jerónimo
García-Reza, Laura
Aguiar-Pulido, Vanessa
Pereira Loureiro, Miguel Ángel

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Rivadulla Brey, J., Pardo-Rodríguez, J., García-Reza, L., Aguiar-Pulido, V., Pereira Loureiro, M.A. (2026). Application of Artificial Intelligence Models in Predicting Clinical Outcomes after Nerve Block in Orthopedic Surgery. In Proceedings XoveTIC 2025: Impulsando el talento científico (pp. 215-222). Servizo de Publicacións UDC. https://doi.org/10.17979/spu.23.c38

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Abstract

[Abstract] This project aims to analyze the effect of the anesthesiology technique of nerve block on the postoperative outcomes of patients undergoing hip and knee surgery. Using the collected data, which includes variables such as pain levels, medication intake, and satisfaction with the procedure, the goal is to develop an artificial intelligence model capable of determining which approach, using a nerve block or not, offers better clinical results. The main objective of this project is to demonstrate that the use of nerve blocks contributes to a less painful recovery and a lower consumption of analgesics.

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Presentado en: VIII Congreso Xove TIC: impulsando el talento científico. Octubre, 2025, A Coruña.

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Attribution-NonCommercial-NoDerivatives 4.0 International
Attribution-NonCommercial-NoDerivatives 4.0 International

Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International