Curial
Project Overview
Challenges
Category
Disciplines
University
Year
About
Covid-19 testing for hospital in-patients is costly and does not produce results quickly enough Curial is a low-cost, rapidly scalable AI-driven screening test which uses clinical data already routinely collected during the first hour of a patient arriving in hospital. It has been shown to reduce missed COVID-19 cases in emergency hospital admissions by 72% compared to Lateral Flow Tests alone and produces results 10x faster than PCR testing.
Team
Jenny Yang
University of Oxford
Dr Andrew Soltan
University of Oxford
Dr Andrew Soltan is an NIHR-funded practicing Clinician at Oxford University Hospitals NHS Trust, and Clinical Machine Learning Researcher at the University of Oxford. His research applies machine learning methods to Electronic Health Record data for rapid diagnosis and prognostication in acute and emergency care settings.
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