Towards Interpretable Thoracic Injury Prediction in Frontal Crashes Using Kolmogorov-Arnold Networks to Assess the Impact of Load-Limiting Seatbelt Force and Delta-V

M. Valdano, A. Polo-Molina, C. Klug, J.R. Jiménez-Octavio, B. Pipkorn, F.J. López-Valdés

International Research Council on Biomechanics of Injury - IRCOBI Europe 2025, Vilnius (Lithuania). 10-12 September 2025

Spanish layman's summary:

Se desarrollaron metamodelos usando redes KAN para predecir fracturas en las costillas a partir de simulaciones de choques frontales, variando la fuerza de límite en cinturón y delta-v.

English layman's summary:

Interpretable KAN metamodels were developed to predict rib fractures from frontal crash simulations, varying load-limiting seatbelt force and delta-v.

Published in: IRCOBI Conference Proceedings, vol. 25, ISSN: 2235-3151

Publication date: 12-Sep-2025.

Citation:
M. Valdano, A. Polo-Molina, C. Klug, J.R. Jiménez-Octavio, B. Pipkorn, F.J. López-Valdés, "Towards Interpretable Thoracic Injury Prediction in Frontal Crashes Using Kolmogorov-Arnold Networks to Assess the Impact of Load-Limiting Seatbelt Force and Delta-V", presented at International Research Council on Biomechanics of Injury - IRCOBI Europe 2025, Vilnius, Lithuania, 10-12 September 2025. In: IRCOBI Conference Proceedings, vol. 25

IIT-25-223C