Rivadulla Brey, JorgePardo-Rodríguez, JerónimoGarcía-Reza, LauraAguiar-Pulido, VanessaPereira Loureiro, Miguel Ángel2026-09-162026-09-162025Rivadulla 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.c38978-84-9749-925-5https://hdl.handle.net/2183/49284Presentado en: VIII Congreso Xove TIC: impulsando el talento científico. Octubre, 2025, A Coruña.[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.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Artificial intelligenceNerve blockOrthopedic surgeryClinical outcome predictionPostoperative pain managementconference outputopen access10.17979/spu.23.c38