# Artificial Intelligence in Virtual Telemedicine Triage:
## 1 Introduction
By incorporating data from these monitors, the chatbot can provide more accurate and personalized recommendations for users. The effectiveness of our approach lies in its ability to assist in the identification and management of respiratory diseases, including COVID-19. While it is true that the presence of COVID-19 needs to be confirmed through diagnostic tests, our proposed telemedicine virtual assistant with AI can play a crucial role in the initial screening and triage process. Furthermore, the use of low-cost monitoring devices may increase accessibility to COVID-19 monitoring and detection in resource-limited settings. However, the accuracy and reliability of these devices should be carefully evaluated, and their use should be accompanied by appropriate measures to ensure data privacy and security [14]. Specifically, the telemedicine virtual assistant with AI presented in this work is a very valuable tool in the health field, as it allows patients to receive fast and accurate medical care. This assistant can diagnose different respiratory diseases, such as COVID-19, the common cold, and allergic rhinitis, by means of artificial intelligence, which is a breakthrough in medical care. This allows patients to receive an accurate and timely diagnosis without having to leave home, which is particularly important after the COVID-19 pandemic. In addition, the ability to measure vital signs in real-time and send them to the server where the web application is hosted allows physicians to monitor patients' health remotely and make informed treatment decisions, which can be especially useful in emergency situations [15]. Another important advantage of the developed assistant is that it is hosted on a web application, which means that it is accessible from any internet-enabled device, making medical care more accessible to people living in rural areas or who have difficulty in reaching traditional healthcare facilities. In this way, by using a web application, the following is provided to the user:  
* The ability to monitor through a web interface real-time vital signs such as heart rate, blood oxygen saturation, and body temperature. * The use of the virtual assistant that employs natural language processing (NPL) allows the simulation of a conversation with a real doctor and provides a personalized experience for patients. * Account protection through password encryption using hash, as well as a CSRF token to prevent information theft when using the web application. The specific goals of this work are (1) to analyze the state of the art of detection parameters for patients with respiratory infections, (2) to design an electronic device that allows the triage of vital signs, and (3) to develop the application for medical diagnosis of respiratory diseases using artificial intelligence. In accordance with the open data standard in Ecuador, the data for this study were collected from an open data portal maintained by the government of Ecuador. Specifically, the data were obtained from the following dataset hosted on the Datos Abiertos (Open Data) portal: [[https://www.datosabiertos.gob.ec/dataset/https-almacenamiento-msp-gob-ec-index-php-s-maihh1064](https://www.datosabiertos.gob.ec/dataset/https-almacenamiento-msp-gob-ec-index-php-s-maihh1064) vskrbl]([https://www.datosabiertos.gob.ec/dataset/https-almacenamiento-msp-gob-ec-index-php-s-maihh1064](https://www.datosabiertos.gob.ec/dataset/https-almacenamiento-msp-gob-ec-index-php-s-maihh1064) vskrbl) (accessed on 19 June 2023). The Datos Abiertos portal is an initiative of the Ecuadorian government to make non-sensitive public data easily accessible to citizens and businesses in a standardized format. This initiative aims to promote transparency, accountability, and innovation by allowing the reuse and integration of public data in various applications. The government of Ecuador has established a comprehensive legal framework to ensure the quality, security, and privacy of open data while encouraging public institutions to prioritize the publication of their datasets.