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

• Jorge Rivadulla Brey ^[1] ; Jeronimo Pardo-Rodriguez ^[1] ; Laura García Reza ^[2] ; Vanessa Aguiar-Pulido ^[3] ; Miguel Angel Pereira Loureiro ^[2]
  1. [1] Universidade da Coruña

     Universidade da Coruña

     A Coruña, España

     
  2. [2] Hospital Álvaro Cunqueiro

     Hospital Álvaro Cunqueiro

     Vigo, España

     
  3. [3] University of Miami

     University of Miami

     Estados Unidos

     

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• Localización: Proceedings XoveTIC 2025: Impulsando el talento científico / coord. por Manuel Lagos Rodríguez, Hilda Romero-Velo, Álvaro Leitao , Javier Pereira-Loureiro , Manuel Penedo , 2026, ISBN 978-84-9749-925-5, págs. 215-222
• Idioma: inglés
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  • This project aims to analyze the effect of the anesthesiology technique of nerve blockon the postoperative outcomes of patients undergoing hip and knee surgery. Using the collecteddata, which includes variables such as pain levels, medication intake, and satisfaction with theprocedure, the goal is to develop an artificial intelligence model capable of determining whichapproach, using a nerve block or not, offers better clinical results. The main objective of thisproject is to demonstrate that the use of nerve blocks contributes to a less painful recovery and alower consumption of analgesics.