Abstract
DETECTION OF LUNG DISEASES THROUGH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS
J. L. Sanchez-Cuevas*, J. Fraustro-De La O, A. V. Poceros-Lozano, R. U. Rivera Castillo, A. F. Mendoza-Guzman, and J. Ayala-Perez
ABSTRACT
Currently, society has been involved in a contingency due to a virus that affects the respiratory system; Therefore, patients need a quick and accurate diagnosis of their respiratory disease to know in which area they should be transferred and thus avoid contagion, a prototype application was developed to solve a problem at international level and that speeds up the detection process of 3 respiratory diseases (SARS-CoV-2, bacterial pneumonia and viral pneumonia) or even corroborates that the patient is healthy, all this by reading radiographs automatically showing the percentage of probability of suffering from any of these diagnoses, at the time it is entered we can also see an alert through LED bulbs that works thanks to the programming of the microcontroller Particle photon (IoT) for a better understanding either for the patient or the doctor and that can proceed to a protocol to help the patient. In addition, it monitors in real time the times an X-ray is entered to keep track of the data.
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