X-Ray Covid19: um aplicativo móvel para diagnóstico através de radiografias do tórax

Abstract

During the COVID-19 pandemic, declared in 2020, various organizations came together to seek solutions to combat the virus. The PredictCovid platform was created to operate during this pandemic, developed to assist healthcare professionals in the screening of COVID-19 through X-ray image analysis. It spurred the demand for Artificial Intelligence (AI) and Machine Learning (ML) solutions during the pandemic. To overcome some of the challenges faced by PredictCovid, we developed the mobile application X-Ray Covid19. Utilizing technologies like Flutter, Firebase, and TensorFlow Lite, this application significantly enhances the user experience and provides another tool to assist healthcare professionals. The usability evaluation, conducted based on Nielsen’s 10 heuristics, revealed a generally positive experience, with highlights for the visibility of the system status and minimalist design. This AI support to doctors is a significant advancement in the fight against COVID-19. Key-words: Machine Learning. PredictCovid. X-ray. X-Ray Covid19.