3D Printing, ML Unite in Research to Improve Cochlear Implants
University of Cambridge (U.K.), November 12, 2021
Improving cochlear implants (CIs) by combining three-dimensional (3D) printing and machine learning (ML) was the goal of a British-Chinese research team of engineers and clinicians. The researchers 3D-printed replicas of human cochleae to examine how the models' shapes and “current spread,” the electrical properties of the highly conductive fluids inside cochlear ducts, affect current or electrical stimulus spread in the ear. Adding ML to the process enabled the prediction of current spread in CI users, which could be used to extrapolate the range of patient cochlear tissue resistivity. Shery Juang at the U.K.'s University of Cambridge said 3D printing "is a powerful tool to create physical models which might provide a well-characterized training dataset as a purpose-built surrogate to clinical data for machine learning. The co-modelling principle demonstrated in this study could be useful to address other areas of clinical modelling and healthcare applications."
No comments:
Post a Comment