News
Vivace collaborates with leading researchers to develop an AI model that offers early prediction of risk and outcomes for patients hospitalized with COVID infectionsDownload
Vivace’s AI solution offers effective early warning system for COVID-19 patients; hospitals offered free trial amid outbreakDownload
Pilots, peer-reviewed research show VFusion™ artificial intelligence platform finds sepsis earlier than other early warning systems, in time to save countless livesDownload
Published Papers
Identification and Prediction of Clinical Phenotypes in Hospitalized Patients With COVID-19: Machine Learning From Medical RecordsDownload
Using Latent Class Analysis to Identify ARDS Sub-phenotypes for Enhanced Machine Learning Predictive PerformanceDownload
Towards Reliable ARDS Clinical Decision Support: ARDS Patient Analytics with Free-text and Structured EMR Data Download
Semantically Enhanced Dynamic Bayesian Network for Detecting Sepsis Mortality Risk in ICU Patients with InfectionDownload
Identification of Pediatric Sepsis Subphenotypes for Enhanced Machine Learning Predictive Performance: A Latent Profile AnalysisDownload
Combining Structured and Free-text Electronic Medical Record Data for Real-time Clinical Decision SupportDownload
Whitepapers
Artificial Intuition: Clinicians and Machines “Thinking and Learning Together” to Reduce Diagnostic Errors in Sepsis ManagementDownload
Challenges with Interoperability Between the VA and DoD, and the Potential Value of Patient-Centric Analytics in HealthcareDownload
How can my doctor make sense of all the data in my medical record during a short office visit?Download