.... Renal pathophysiological assessment requires novel high-throughput tools to conduct quantitative, unbiased, and reproducible analyses representing a central readout. Deep learning may be an effective tool for glomerulonephritis pathological analysis. Methods: We developed a murine renal pathological...

... to in the content or advertisements. Deep learning Restricted Boltzmann machines Hemodynamic monitoring Pulse transit time Hemodynamic monitoring is essential in dialysis, surgery, and in critically ill patients. For the most severe patients, blood pressure (BP) is normally assessed through...

... of this paper is to introduce the basic concepts of reinforcement learning, explain how reinforcement learning can be effectively combined with deep learning, and explore how deep reinforcement learning could be useful in a medical context. Review Article Kidney Dis 2019;5:18 22 DOI: 10.1159/000492670 Received...