Application of Artificial Intelligence Models in Predicting Clinical Outcomes after Nerve Block in Orthopedic Surgery
| UDC.coleccion | Publicacións UDC | |
| UDC.conferenceTitle | XoveTIC: impulsando el talento científico (8º. 2025. A Coruña) | |
| UDC.endPage | 222 | |
| UDC.grupoInv | Tecnoloxía Aplicada á Investigación en Ocupación, Igualdade e Saúde (TALIONIS) | |
| UDC.institutoCentro | CITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación | |
| UDC.startPage | 215 | |
| dc.contributor.author | Rivadulla Brey, Jorge | |
| dc.contributor.author | Pardo-Rodríguez, Jerónimo | |
| dc.contributor.author | García-Reza, Laura | |
| dc.contributor.author | Aguiar-Pulido, Vanessa | |
| dc.contributor.author | Pereira Loureiro, Miguel Ángel | |
| dc.date.accessioned | 2026-09-16T18:10:20Z | |
| dc.date.available | 2026-09-16T18:10:20Z | |
| dc.date.issued | 2025 | |
| dc.description | Presentado en: VIII Congreso Xove TIC: impulsando el talento científico. Octubre, 2025, A Coruña. | |
| dc.description.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. | |
| dc.description.sponsorship | This work was supported by Universidade da Coruña, Xunta de Galicia and CITIC. TALIONIS Research Group of the University of A Coruña (grants for the consolidation and structuring of competitive research units ED431B 2025/23). CITIC is a center accredited for excellence within the Galician University System and a member of the CIGUS Network (Ref. ED431G2023/01). Additionally, it is co-financed by the European Union through the FEDER Galicia 2021–2027 operational program. | |
| dc.description.sponsorship | Xunta de Galicia; ED431G2023/01 | |
| dc.description.sponsorship | Xunta de Galicia; ED431B 2025/23 | |
| dc.identifier.citation | 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 | |
| dc.identifier.doi | 10.17979/spu.23.c38 | |
| dc.identifier.isbn | 978-84-9749-925-5 | |
| dc.identifier.uri | https://hdl.handle.net/2183/49284 | |
| dc.language.iso | eng | |
| dc.publisher | Universidade da Coruña, Servizo de Publicacións | |
| dc.relation.uri | https://doi.org/10.17979/spu.23.c38 | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
| dc.rights.accessRights | open access | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Artificial intelligence | |
| dc.subject | Nerve block | |
| dc.subject | Orthopedic surgery | |
| dc.subject | Clinical outcome prediction | |
| dc.subject | Postoperative pain management | |
| dc.title | Application of Artificial Intelligence Models in Predicting Clinical Outcomes after Nerve Block in Orthopedic Surgery | |
| dc.type | conference output | |
| dspace.entity.type | Publication |
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