CONFIGURATIONS

Brand Owner Address Description
ALL-IN CONFIGURATIONS Shanghai United Imaging Healthcare Co.,Ltd. No. 2258 Chengbei Rd., Jiading District, Shanghai 201807 China CONFIGURATIONS;Computer programming in the medical field; Image processing software design; Medical research services in the field of cancer; Medical and scientific research in the field of medical imaging; Providing an online non-downloadable Internet-based system application featuring technology enabling users to process images; Research and development in the field of medical devices; Technology research in the field of Image processing; Scientific research for medical purposes in the field of image processing; Technology research in the field of medical instruments; Computer network configuration services; Consulting in the field of configuration management for computer hardware and software; Software development for others in the field of software configuration management; Computer programming services for others in the field of software configuration management; On-line batch computer services, namely, configuration of multiple files into a single group;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. In general, the invention is directed to a technique for selection of parameter configurations for an implantable neurostimulator using Bayesian networks. The technique may be employed by a programming device to allow a clinician to select parameter configurations, including electrode configurations, and then program an implantable neurostimulator to deliver therapy using the selected parameter configurations. In operation, the programming device executes a parameter configuration search algorithm to guide the clinician in the selection of parameter configurations. The search algorithm relies on a Bayesian network structure that encodes conditional probabilities describing different states of the parameter set. The Bayesian network structure provides a conditional probability table that represents causal relationships between different parameter configurations. The search algorithm uses the Bayesian network structure to infer likely efficacies of possible parameter configurations based on the efficacies of parameter configurations already observed.