But we know that many real estate teams are frustrated and concerned. They work with a tech stack of disparate, non-integrated software that generates more work, prevents cost reduction and impedes progress. That’s why we’ve created a single platform for the education sector that provides a...
Do you know the real cost of moving? 20 Ways Companies are Transforming Their Offices Meeting the demands of change with MRI Angus Tech-tonic Shifts in Multifamily Leasing TRACS Talk: Navigating Affordable Housing Compliance Get "HIP" to the latest in public housing compliance Get time back in...
And there's a high cost to this kind of quality; MRI systems are very expensive to purchase, and therefore the exams are also very expensive. But are there any other costs? What about the patient's safety? MRI Safety Concerns This patient was cleared for take-off. Plush Studios/Blend...
Clinical electrical stimulation systems — such as pacemakers and deep brain stimulators (DBS) — are an increasingly common therapeutic option to treat a large range of medical conditions. Despite their remarkable success, one of the significant limitat
Noise-induced hearing loss (NIHL) is a common occupational condition. The aim of this study was to develop a classification model for NIHL on the basis of both functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging (sMRI)
Prenuvo is looking for other ways to lower costs through artificial intelligence and by potentially reducing the durations of the scans even further. Lacy said the cost is directly correlated to the amount of time customers spend in the expensive machines. ...
The neurosurgeon argues that doctors should be trusted to make decisions that are best for the patient. Conflict of interest is not limited to use of high-tech machines. He notes that doctors have been accused of ordering surgeries or followup visits for profit reasons too. ...
Introduction The use of intraoperative imaging has been a critical tool in the neurosurgeon’s armamentarium and is of particular benefit during tumor surgery. This article summarizes the history of its development, implementation, clinical experience and future directions. ...
To this end, in this work, we first identify the region of interest with a high probability of encountering the tumor and then apply the CNN model to this smaller region–thus reducing computational cost and increasing system efficacy. The major drawback of convolutional neural network models (...
Structural similarity is a growing focus for magnetic resonance imaging (MRI) of connectomes. Here we propose Morphometric INverse Divergence (MIND), a new method to estimate within-subject similarity between cortical areas based on the divergence betwee