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Researchers test the use of Artificial Intelligence in the diagnosis of COVID-19

19th November 2020

Lung ultrasound enables the fast diagnosis and monitoring of cases, namely in situations where performing other tests is not suitable. The use of chest ultrasounds (Point-of-Care Ultrasound - POCUS) is particularly interesting in the context of COVID-19, since the ultrasound system is portable and easy to use, allowing the diagnosis of viral pneumonia associated with most severe cases, by identifying pleural thickening and the presence of characteristic patterns of B lines (vertical lines on the periphery of the lung).

“However, the widespread use of this technique is limited by the operational complexity of an ultrasound exam. The correct positioning of the probe and image evaluation are two interrelated and complex tasks, which require specialised knowledge and specific training, in order to be used effectively", explained Miguel Coimbra, researcher at the Institute for Systems and Computers Engineering, Technology and Science (INESC TEC), and lecturer at the Faculty of Sciences of the University of Porto (FCUP). “This question is an opportunity to explore the potential of AI - more specifically, in computer vision - as a way to improve the massive use of POCUS. What if we could automatically guide an inexperienced user in the correct positioning of the POCUS probe, during the diagnosis and evaluation of COVID-19? While suggesting an immediate computer-aided diagnosis (CAD)?”, added the researcher.

The prototype will be installed in Garcia de Orta hospital, which already uses ultrasounds to study patients with COVID-19, for clinical research purposes.“The HGO team made up of two elements with differentiation in chest ultrasound (Rui Gomes and Jacobo Bacariza) will recruit patients with COVID-19, from which the images and videos will be collected, annotated and treated. Those will serve as a substrate for the algorithm and computer vision project. Later, HGO will also be the location for installing the prototype for the final phases of the project ", says Filipe Gonzalez, medical coordinator of the project at HGO.

This project is a multidisciplinary collaboration between INESC TEC (computer vision), the Garcia de Orta hospital (medicine), FC.ID (computer vision) and Nevarotech (interoperability, prototyping and technology transfer).

THOR (Computer Assisted Thoracic Assessment using POCUS) is one of 12 projects funded by the programme “AI 4 COVID-19: Data Science and Artificial Intelligence in Public Administration to fight against COVID-19 and future pandemics - 2020”, promoted by the Foundation for Science and Technology. The project received €240K of funding and the agreed duration is 24 to 36 months.









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