Cervical spine fracture detection in computed tomography using convolutional neural networks.

In the context of primary in-hospital trauma management timely reading of computed tomography (CT) images is critical. However, assessment of the spine is time consuming, fractures can be very subtle, and the potential for under-diagnosis or delayed diagnosis is relevant. Artificial intelligence is increasingly employed to assist radiologists with the detection of spinal fractures and prioritization of cases.

Intracochlear Pressure Changes due to 2 Electrode Types: An Artificial Model Experiment.

Objective To preserve residual hearing in cochlear implant surgery, the electrode design has been refined, and an atraumatic insertion has become one aspect of cochlear implant research. Previous studies have described the effect of insertion speed and opening of the round window membrane on intracochlear pressure changes. The aim of our current study was to observe intracochlear pressure changes due to different cochlear implant electrodes in an artificial cochlear model with stable surrounding factors.

Comparison of the effects of four different cochlear implant electrodes on intra-cochlear pressure in a model.

Conclusion: Based on this model experiment, a small tip and low volume electrode show lowest intra-cochlear pressure values. Insertional support by a tool minimizes fast pressure changes. Higher electrodes volumes affect slow and fast pressure changes as well.

Insertional depth-dependent intracochlear pressure changes in a model of cochlear implantation.

Conclusion: Over time, a homogenous increase in intracochlear pressure was seen in every experiment. Significant reductions in terms of amplitude variation and insertion depth were observed over time, using the one-point-supported insertion method. The frequency of peaks between the thirds was significantly lower when using the two-points-supported insertion method.