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A recent study published in the journal Clinical Infectious Diseases has demonstrated that the use of an artificial intelligence tool has led to a significant reduction in mortality rates amongst hospitalised COVID-19 patients, including elderly and at-risk populations.
Artificial Intelligence Tool Aiding Personalised COVID-19 Treatment Decisions Demonstrates 50% Reduction In Mortality
The tool is the outcome of a project named ‘Digital Control Centre for COVID-19’ by health innovation body, EIT Health, which was initiated in April 2020. Since then, the tool has undergone development and validation, and has shown early success in the stratification and personalisation of treatment for patients with serious COVID-19 leading to improved treatment responses and, ultimately, a 50% reduction in mortality rates. As of early August, there have been over 18 million cases of COVID-19 worldwide, and it has led to the death of over 689,000 people. The main cause of death for patients with COVID-19 is respiratory failure, however many patients experiencing respiratory symptoms can be effectively treated if adequate care is provided at the right timepoint. The observational cohort study was conducted amongst 786 patients admitted to Hospital Clinic, Barcelona. Results also demonstrated that the tool was
suggesting personalised treatments. This provides a real-time control centre for all COVID-19 patients admitted to hospital, under the supervision of an expert in infectious diseases. “The artificial-intelligence system that we have built is capable of supporting clinicians in the early diagnosis of patients more prone to develop complications, thus we have been able to provide timely and personalised treatments. This ‘Central Control System’ can be used for multiple applications beyond COVID-19 and represents a clear example of how AI can improve medicine and health outcomes,” said Carolina GarcíaVidal, Hospital Clínic de Barcelona. The solution will now be validated and expanded to other hospitals within the EIT Health network, including other Spanish hospitals (Mutua de Terrassa and Hospital Germans Trias i Pujol), the Netherlands (Erasmus MC) and Belgium (University Hospital UZ Leuven, KU Leuven).
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able to predict, with 90% accuracy, the trajectory of the disease in individual patients to allow for timely and appropriate treatment. Use of the tool led to improvements in patients’ condition at day five amongst 93.9% of patients treated with a personalised therapy approach. The tool works by analysing the data of hospitalised patients with COVID-19 who are experiencing respiratory symptoms, and defining three distinct clinical pattern stratifications which reflect differing symptom complications – inflammation, co-infection and thrombosis. Early knowledge of these symptomatic patterns conferring various clinical complications lead to differing therapeutic approaches and subsequent personalised treatment decisions. Researchers at Hospital Clinic Barcelona-IDIBAPS created the artificial intelligence solution capable of analysing, in real time, more than a trillion anonymised data points of COVID-19 patients, identifying clinical patterns and
