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Artificial Intelligence in Virtual Telemedicine Triage: A Respiratory Infection Diagnosis Tool with Electronic Measuring Device

Author

Listed:
  • Naythan Villafuerte

    (Faculty of Systems, Electronics and Industrial Engineering, Universidad Tecnica de Ambato, UTA, Ambato 180206, Ecuador
    These authors contributed equally to this work.)

  • Santiago Manzano

    (Faculty of Systems, Electronics and Industrial Engineering, Universidad Tecnica de Ambato, UTA, Ambato 180206, Ecuador
    These authors contributed equally to this work.)

  • Paulina Ayala

    (Faculty of Systems, Electronics and Industrial Engineering, Universidad Tecnica de Ambato, UTA, Ambato 180206, Ecuador
    These authors contributed equally to this work.)

  • Marcelo V. García

    (Faculty of Systems, Electronics and Industrial Engineering, Universidad Tecnica de Ambato, UTA, Ambato 180206, Ecuador
    These authors contributed equally to this work.)

Abstract

Due to the similarities in symptomatology between COVID-19 and other respiratory infections, diagnosis of these diseases can be complicated. To address this issue, a web application was developed that employs a chatbot and artificial intelligence to detect COVID-19, the common cold, and allergic rhinitis. The application also integrates an electronic device that connects to the app and measures vital signs such as heart rate, blood oxygen saturation, and body temperature using two ESP8266 microcontrollers. The measured data are displayed on an OLED screen and sent to a Google Cloud server using the MQTT protocol. The AI algorithm accurately determines the respiratory disease that the patient is suffering from, achieving an accuracy rate of 0.91% after the symptomatology is entered. The app includes a user interface that allows patients to view their medical history of consultations with the assistant. The app was developed using HTML, CSS, JavaScript, MySQL, and Bootstrap 5 tools, resulting in a responsive, dynamic, and robust application that is secure for both the user and the server. Overall, this app provides an efficient and reliable way to diagnose respiratory infections using the power of artificial intelligence.

Suggested Citation

  • Naythan Villafuerte & Santiago Manzano & Paulina Ayala & Marcelo V. García, 2023. "Artificial Intelligence in Virtual Telemedicine Triage: A Respiratory Infection Diagnosis Tool with Electronic Measuring Device," Future Internet, MDPI, vol. 15(7), pages 1-29, June.
    • Handle: RePEc:gam:jftint:v:15:y:2023:i:7:p:227-:d:1178694
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    References listed on IDEAS

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    1. Gianluca Bonifazi & Enrico Corradini & Domenico Ursino & Luca Virgili, 2022. "New Approaches to Extract Information From Posts on COVID-19 Published on Reddit," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 21(05), pages 1385-1431, September.
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