STS398 - Numerical Simulation, Optimization and Artificial Intelligence for Computational Engineering in Neurostimulation Implants

Organized by: Á. Ramos-de-Miguel (Cochlear Technology Center (CTC), Belgium), M. Callejón-Leblic (Hospital Universit. Virgen Macarena Sevilla, Spain), J. Escobar (Universidad de Las Palmas de Gran Canaria, Spain) and D. Greiner (Universidad de Las Palmas de Gran Canaria, Spain)
Keywords: Artificial Intelligence, Cochlear Implant, Numerical Simulation, design optimization, Neurostimulation Implant
Recent advances have been made in numerical simulation [1] and optimisation [2] of neurostimulation implants. In particular, the advent of artificial intelligence methods has also enabled improvements and new useful approaches in this field [3]. This mini-symposium is aimed at presenting the latest research results in numerical simulation methods (finite elements, etc.) as well as artificial intelligence techniques (neural networks, global stochastic optimisation methods, etc.), for neurostimulation implants (cochlear implants, vestibular implants). References [1] M.A. Callejón-Leblic, M. Lazo-Maestre, A. Fratter, F. Ropero-Romero, S. Sánchez-Gómez, J. Reina-Tosina (2024), "A full-head model to investigate intra and extracochlear electric fields in cochlear implant stimulation", Physics in Medicine and Biology, 69 (15) (2024), Article 155010. [2] M. Hernández-Gil, Á. Ramos-de-Miguel, D. Greiner, D. Benítez, Á. Ramos-Macías, José M. Escobar (2025),"A computational model for multiobjective optimization of multipolar stimulation in cochlear implants: An enhanced focusing approach", Expert Systems with Applications, Volume 280, 25 June 2025, 127472. [3] G. Zhang, R. Chen, H. Ghorbani, W. Li, A. Minasyan, Y. Huang, S. Lin, M. Shao, "Artificial intelligence-enabled innovations in cochlear implant technology: Advancing auditory prosthetics for hearing restoration", Bioengineering & Translational Medicine (2025), 10.1002/btm2.10752.