t divides workloads dynamically across a number of computing nodes. This greatly reduces the time required to analyze data sets and to run workflows that are beyond the capabilities of desktop systems. According to Brian Kennedy
, Chief Technology Officer, "The CliniscanTM
toolkit accelerates the development of medical data processing algorithms and reduces the complexity of developing parallel distributed code for cloud processing." Brad Johnson
, Lead Developer, describes the open API as "providing third party access to partners with scalability to handle complex data." For these reasons, CliniscanTM
stands to become the premier open-architecture, self-proliferating repository for third-party diagnostic algorithms.
EEG Decision Support, the first plug-in modality within the CliniscanTM open architecture, is the most comprehensive product of its kind available in the market. Fatih Sirin, Ph.D and Head of Analytics, notes"EEG Decision Support addresses the paramount components of quantitative EEG analysis - insomnia, dementia, epilepsy, head injury, sleep apnea, using an array of "gold standard" algorithms." Dhinakaran Chinappen, Biomedical Engineer, reports "EEG Decision Support features automated spike detection, seizure detection, classification, thereby saving the physician a substantial amount of time."
Cecily Xi and William Bubel, Senior Software Engineers, emphasize that "Users are provided with a complete, comprehensive, and objective report conveying abnormal characteristics of the EEG recording, clinical correlations, and notes from the physician."
Picofemto distinguishes itself with the ability to process large scale biomedical data in an efficient manner - within the mePage: 1 2 3 Related biology news :1
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