4 projects

COVID-19 DIAGNOSTIC PROGRAM POWERED BY AI

The aim of the project is to create a prototype of an integrated tele-medical system supporting comprehensive clinical decisions in the field of novel COVID-19. The project scope also includes significant research activities focused on utilising a variety of available multidisciplinary clinical and imaging data to enable the proposed system to go beyond supporting detection and diagnosis that is already possible by the existing methods. The problem undertaken in the project is the limitations related to the early diagnosis of the COVID-19, collection of epidemiological and statistical data ...

CardioCube: COVID AI-driven conversational agent

CardioCube COVID enables virtual care for patients with coronavirus and quarantined individuals using AI-driven conversational agents deployed on smartphones and smart speakers. Automatic forward triage system allows to multiply healthcare provider's workforce increasing patients and providers safety thorough physical distancing. CardioCube COVID will include following modules: 1. Clinical Follow-Up - periodically, using mobile or voice interface, user answers a set of clinical questions to evaluate the health status at home. CardioCube red-flags patients/quarantined individuals at-r...

AICovIX - AI based diagnosis of Covid-19 from CT/X-Ray imaging

The gold standard for Covid-19 diagnosis is RT-PCR for SARS-CoV-2 from the upper airways. This method suffers from decreased accuracy in more severe disease stages affecting the lower airways. False negative PCR tests in severe cases impose a massive risk to the health system, promoting intra-hospital disease spread in the actual pandemic situation. Reports from China indicate false negative PCR from upper airway samples in severe Covid-19 pneumonia in more than 50% of the cases. Therefore, complementary tests for the detection of these dangerous cases are urgently needed. The value of che...

DICO-Lux: DIgital Covid-19 Observatory In LUXembourg: An Open Tool For SARS-COV-2 Crisis Manageme...

Monitoring online activities for public health purposes has been investigated since the first days of the digital epidemiology field early 2010s, with the objective of capturing health-related trends and model disease outbreaks. Most famous examples of internet surveillance were developed for the flu, influenza AH1N1, the Zika virus or Ebola. We now have the opportunity to leverage both the digital data available online and the appropriate Natural Language Processing (NLP) and Text Mining methods to fight the Covid-19 pandemic. The main objective of the DICO-LUX project is to rapidly d...

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