AI Medical Compendium Journal:
Journal of the mechanical behavior of biomedical materials

Showing 31 to 36 of 36 articles

Extended Kalman filter for online soft tissue characterization based on Hunt-Crossley contact model.

Journal of the mechanical behavior of biomedical materials
Real-time soft tissue characterization is significant to robotic assisted minimally invasive surgery for achieving precise haptic control of robotic surgical tasks and providing realistic force feedback to the operator. This paper presents a nonlinea...

A deep learning application to approximate the geometric orifice and coaptation areas of the polymeric heart valves under time - varying transvalvular pressure.

Journal of the mechanical behavior of biomedical materials
Machine learning and deep learning frameworks have been presented as a substitute for lengthy computational analysis, such as finite element analysis, computational fluid dynamics, and fluid-structure interaction. In this study, our objective was to ...

Exploring the potential of transfer learning for metamodels of heterogeneous material deformation.

Journal of the mechanical behavior of biomedical materials
From the nano-scale to the macro-scale, biological tissue is spatially heterogeneous. Even when tissue behavior is well understood, the exact subject specific spatial distribution of material properties is often unknown. And, when developing computat...

Utilization of a robotic mount to determine the force required to cut palatal tissue.

Journal of the mechanical behavior of biomedical materials
Determination of the material properties of soft tissue is a growing area of interest that aids in the development of new surgical tools and surgical simulators. This study first aims to develop a robot-operated tissue testing system for determinatio...

Microrobotized blasting improves the bone-to-textured implant response. A preclinical in vivo biomechanical study.

Journal of the mechanical behavior of biomedical materials
This study evaluated the effect of microrobotized blasting of titanium endosteal implants relative to their manually blasted counterparts. Two different implant systems were utilized presenting two different implant surfaces. Control surfaces (Manual...

Dynamic modeling of breast tissue with application of model reference adaptive system identification technique based on clinical robot-assisted palpation.

Journal of the mechanical behavior of biomedical materials
Accurate identification of breast tissue's dynamic behavior in physical examination is critical to successful diagnosis and treatment. In this study a model reference adaptive system identification (MRAS) algorithm is utilized to estimate the dynamic...