To increase the speed of diagnosis and improve the clinical management of SARS-CoV2 infected patients

The current saturation of the health system, together with the massive use of chest X-rays for the rapid diagnosis of COVID-19-associated pneumonia, makes it necessary to have a diagnostic assistance tool based on automatic techniques in order to accelerate triage (especially by non-radiologists). The project proposes a system based on neural networks to assist in the diagnosis of COVID-19.

Principal Investigator: Lara Lloret (IFCA)

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