{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T06:33:07Z","timestamp":1774074787929,"version":"3.50.1"},"reference-count":29,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2023,6,25]],"date-time":"2023-06-25T00:00:00Z","timestamp":1687651200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100016022","name":"Universidad T\u00e9cnica de Ambato","doi-asserted-by":"publisher","award":["PFISEI31"],"award-info":[{"award-number":["PFISEI31"]}],"id":[{"id":"10.13039\/100016022","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Future Internet"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/fi15070227","type":"journal-article","created":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T02:40:23Z","timestamp":1687747223000},"page":"227","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Artificial Intelligence in Virtual Telemedicine Triage: A Respiratory Infection Diagnosis Tool with Electronic Measuring Device"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-6671-5788","authenticated-orcid":false,"given":"Naythan","family":"Villafuerte","sequence":"first","affiliation":[{"name":"Faculty of Systems, Electronics and Industrial Engineering, Universidad Tecnica de Ambato, UTA, Ambato 180206, Ecuador"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3919-7176","authenticated-orcid":false,"given":"Santiago","family":"Manzano","sequence":"additional","affiliation":[{"name":"Faculty of Systems, Electronics and Industrial Engineering, Universidad Tecnica de Ambato, UTA, Ambato 180206, Ecuador"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6676-1959","authenticated-orcid":false,"given":"Paulina","family":"Ayala","sequence":"additional","affiliation":[{"name":"Faculty of Systems, Electronics and Industrial Engineering, Universidad Tecnica de Ambato, UTA, Ambato 180206, Ecuador"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7138-3913","authenticated-orcid":false,"given":"Marcelo V.","family":"Garc\u00eda","sequence":"additional","affiliation":[{"name":"Faculty of Systems, Electronics and Industrial Engineering, Universidad Tecnica de Ambato, UTA, Ambato 180206, Ecuador"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,25]]},"reference":[{"key":"ref_1","unstructured":"(2022, April 10). World Health Statistics 2022: Monitoring Health for the SDGs, Sustainable Development Goals. Available online: https:\/\/www.who.int\/publications\/i\/item\/9789240051157."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"436","DOI":"10.5694\/mja17.00686","article-title":"COPD-X Australian and New Zealand guidelines for the diagnosis and management of chronic obstructive pulmonary disease: 2017 update","volume":"207","author":"Yang","year":"2017","journal-title":"Med. J. Aust."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"World Health Organization (2023). Training on SARS-CoV-2 sequencing and molecular phylogenetics for national influenza centres in the Eastern Mediterranean Region. East. Mediterr. Health J., 29, 162.","DOI":"10.26719\/2023.29.02.162"},{"key":"ref_4","first-page":"CD002098","article-title":"Telemedicine versus face to face patient care: Effects on professional practice and health care outcomes","volume":"9","author":"Currell","year":"2000","journal-title":"Cochrane Database Syst. Rev."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.rmed.2014.10.008","article-title":"Telehealthcare in COPD: A systematic review and meta-analysis on physical outcomes and dyspnea","volume":"109","author":"Lundell","year":"2015","journal-title":"Respir. Med."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1007\/s12098-021-03924-0","article-title":"Telemedicine during the COVID-19 pandemic: Moving from physical to virtual outpatient care","volume":"88","author":"Goyal","year":"2021","journal-title":"Indian J. Pediatr."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Ford, J.H., Jolles, S.A., Heller, D., Langenstroer, M., and Crnich, C. (2022). There and back again: The shape of telemedicine in U.S. nursing homes following COVID-19. BMC Geriatr., 22.","DOI":"10.1186\/s12877-022-03046-y"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1007\/s10916-020-01618-2","article-title":"Combating COVID-19-how can AR telemedicine help doctors more effectively implement clinical work","volume":"44","author":"Liu","year":"2020","journal-title":"J. Med. Syst."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2667","DOI":"10.1007\/s11831-023-09882-4","article-title":"COVID-19-the role of Artificial Intelligence, Machine Learning, and Deep Learning: A newfangled","volume":"30","author":"Prabaharan","year":"2023","journal-title":"Arch. Comput. Methods Eng."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1311","DOI":"10.1007\/s12553-021-00601-2","article-title":"The prospective of Artificial Intelligence in COVID-19 Pandemic","volume":"11","author":"Swayamsiddha","year":"2021","journal-title":"Health Technol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1007\/s12553-020-00516-4","article-title":"Application of telemedicine and eHealth technology for clinical services in response to COVID-19 pandemic","volume":"11","author":"Bokolo","year":"2021","journal-title":"Health Technol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1135","DOI":"10.26719\/emhj.20.042","article-title":"Mobile-aided diagnosis systems are the future of health care","volume":"26","year":"2020","journal-title":"East. Mediterr. Health J."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"241","DOI":"10.5455\/aim.2020.28.241-247","article-title":"Health chatbots for fighting COVID-19: A scoping review","volume":"28","author":"Almalki","year":"2020","journal-title":"Acta Inform. Medica"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"19012","DOI":"10.1038\/s41598-020-75912-x","article-title":"An artificial intelligence-based first-line defence against COVID-19: Digitally screening citizens for risks via a chatbot","volume":"10","author":"Martin","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"892","DOI":"10.26719\/emhj.21.030","article-title":"Implementation of e-health innovative technologies in North Lebanon hospitals","volume":"27","author":"Halwani","year":"2021","journal-title":"East. Mediterr. Health J."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1007\/s42600-020-00103-6","article-title":"Machine learning based prognostic model and mobile application software platform for predicting infection susceptibility of COVID-19 using healthcare data","volume":"38","author":"Srivatsan","year":"2020","journal-title":"Res. Biomed. Eng."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1007\/s13721-022-00367-1","article-title":"Diagnosing COVID-19 using artificial intelligence: A comprehensive review","volume":"11","author":"Khanna","year":"2022","journal-title":"Netw. Model. Anal. Health Inform. Bioinform."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Gandhi, M., Singh, V.K., and Kumar, V. (2019, January 14\u201315). IntelliDoctor\u2014AI based Medical Assistant. Proceedings of the 2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), Chennai, India.","DOI":"10.1109\/ICONSTEM.2019.8918778"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1007\/s43657-022-00058-x","article-title":"Clinical profiles at the time of diagnosis of SARS-CoV-2 infection in Costa Rica during the pre-vaccination period using a machine learning approach","volume":"2","author":"Brenes","year":"2022","journal-title":"Phenomics"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"867","DOI":"10.1007\/s12553-022-00668-5","article-title":"An incremental learning approach to prediction models of SEIRD variables in the context of the COVID-19 pandemic","volume":"12","author":"Camargo","year":"2022","journal-title":"Health Technol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1385","DOI":"10.1142\/S0219622022500213","article-title":"New Approaches to Extract Information From Posts on COVID-19 Published on Reddit","volume":"21","author":"Bonifazi","year":"2022","journal-title":"Int. J. Inf. Technol. Decis. Mak."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Cauteruccio, F., and Terracina, G. (2023). Extended High Utility Pattern Mining: An Answer Set Programming Based Framework and Applications. arXiv.","DOI":"10.1017\/S1471068423000066"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1361","DOI":"10.1007\/s00146-021-01239-4","article-title":"Artificial intelligence in hospitals: Providing a status quo of ethical considerations in academia to guide future research","volume":"37","author":"Mirbabaie","year":"2022","journal-title":"AI Soc."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1007\/s43681-021-00089-6","article-title":"Moral exemplars for the virtuous machine: The clinician\u2019s role in ethical artificial intelligence for healthcare","volume":"2","author":"Hindocha","year":"2021","journal-title":"AI Ethics"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1007\/s43681-021-00131-7","article-title":"The ethical issues of the application of artificial intelligence in healthcare: A systematic scoping review","volume":"2","author":"Karimian","year":"2022","journal-title":"AI Ethics"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1007\/s11019-021-10049-w","article-title":"Chatbot breakthrough in the 2020s? An ethical reflection on the trend of automated consultations in health care","volume":"25","author":"Parviainen","year":"2022","journal-title":"Med. Health Care Philos."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Bharti, U., Bajaj, D., Batra, H., Lalit, S., Lalit, S., and Gangwani, A. (2020, January 10\u201312). Medbot: Conversational artificial intelligence powered chatbot for delivering tele-health after covid-19. Proceedings of the 2020 5th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India.","DOI":"10.1109\/ICCES48766.2020.9137944"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"100493","DOI":"10.1016\/j.hjdsi.2020.100493","article-title":"Digital triage: Novel strategies for population health management in response to the COVID-19 pandemic","volume":"8","author":"Lai","year":"2020","journal-title":"Healthcare"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"12826","DOI":"10.1109\/JIOT.2021.3073904","article-title":"Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World","volume":"8","author":"Firouzi","year":"2021","journal-title":"IEEE Internet Things J."}],"container-title":["Future Internet"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-5903\/15\/7\/227\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:00:14Z","timestamp":1760126414000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-5903\/15\/7\/227"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,25]]},"references-count":29,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2023,7]]}},"alternative-id":["fi15070227"],"URL":"https:\/\/doi.org\/10.3390\/fi15070227","relation":{},"ISSN":["1999-5903"],"issn-type":[{"value":"1999-5903","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,25]]}}}