— Technology Description
Researchers at Washington University in St. Louis have developed a software method that demonstrates high precision and specificity in detecting neural oscillations in time and frequency domains. Current methods to look at identifying peaks over 1/f noise within the power s…
— Technology Description
Researchers at Washington University in St. Louis have developed a deep brain stimulation approach that can identify optimal stimulation parameters intraoperatively, which significantly reduces the amount of time spent on adapting stimulation parameters, thus reducing costs,…
— Technology Description
Researchers at Washington University in St. Louis have developed a new method for automatically differentiating accelerated heart rhythms caused by wide complex tachycardia (WCTs) into fast, or irregularly fast heart rhythms caused by ventricular tachycardia (VT) and suprave…
— T-018976 Software that Generates Radiology Reports using Deep Learning
Technology Description
Researchers at Washington University in St. Louis have developed a computational software method designed to assist radiologists with generating and correcting patient reports more effectively. Radiolo…
— T-020357, T-020358, T-020744 Myocardial perfusion SPECT optimization
Technology Description
Researchers from the laboratory of Abhinav Jha at Washington University have devised methods to reliably improve and personalize myocardial perfusion SPECT imaging. The inventions include the following capa…
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Creating...
