Organizers of this minisymposium are
Biomedical acoustics has a long history of utilizing sound waves for medical diagnostics and therapy. Recently, the field has witnessed a surge in the application of machine learning algorithms, offering innovative tools for data analysis, pattern recognition, and predictive modeling. This development presents a unique opportunity to enhance the simulation and interpretation of acoustic data in clinical settings.