Artificial Intelligence-Based Chatbots to Combat COVID-19 Pandemic: A Scoping Review.
Context: Artificial intelligence (AI) Chatbots are computer programs that simulate human conversation and use artificial intelligence, including machine learning and natural language processing, to interact with users via natural language. With the outbreak of the COVID-19 pandemic, the use of digit...
| Publicado en: | Shiraz E Medical Journal Vol. 24; no. 11; pp. 1 - 13 |
|---|---|
| Autores principales: | , , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
Shiraz University of Medical Sciences
Nov2023
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=174961671&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 174961671 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17351391 8NXE jtl: Shiraz E Medical Journal issn: 17351391 maglogo: N pubinfo: dt: Nov2023 vid: 24 iid: 11 pid: 65846 pub: Shiraz University of Medical Sciences place: Shiraz, <Blank> artinfo: ui: 174961671 174961671 174961671 10.5812/semj-139627 174961671 ppf: 1 ppct: 12 formats: tig: atl: Artificial Intelligence-Based Chatbots to Combat COVID-19 Pandemic: A Scoping Review. aug: au: Mahdavi, Abdollah Amanzadeh, Masoud Hamedan, Mahnaz Naemi, Roya affil: Department of Health Information Management, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran sug: subj: Artificial Intelligence User-Computer Interface Machine Learning Methods Chatbot COVID-19 Pandemic Human Scoping Review PubMed Mental Health Natural Language Processing Methods Digital Health Public Health Self Assessment Communication Methods Health Resource Utilization Descriptive Statistics ab: Context: Artificial intelligence (AI) Chatbots are computer programs that simulate human conversation and use artificial intelligence, including machine learning and natural language processing, to interact with users via natural language. With the outbreak of the COVID-19 pandemic, the use of digital health technologies such as chatbots has accelerated. Objectives: This study aims to investigate the application of AI chatbots in combating the COVID-19 pandemic and explore their features. Methods: We reviewed the literature on health chatbots during the COVID-19 pandemic. PubMed, Scopus, Web of Science, and Google Scholar were searched using relevant keywords such as "chatbot", "conversational agent," and "artificial intelligence". To select the relevant articles, we conducted title, abstract, and full-text screening based on inclusion and exclusion criteria. Chatbots, their applications, and design features were extracted from the selected articles. Results: Out of 673 articles initially identified, 17 articles were eligible for inclusion. We categorized the selected AI chatbots based on their roles, applications, and design characteristics. Around 70% of chatbots were designed to play a preventive role. Our review identified 8 key applications of the AI chatbots during the COVID-19 pandemic, which include (1) information dissemination and education, (2) self-assessment and screening, (3) connecting to health centers, (4) combating misinformation and fake news, (5) patient tracking and service delivery (6) mental health (7) monitoring exposure (8) vaccine information and scheduling. AI chatbots were deployed on various platforms, including mobile apps, web, and social media. Mobile-based chatbots were the most frequent. All chatbots used Natural Language Understanding (NLU) methods to understand natural language input and act on the user's request. More than 50% of AI chatbots used NLU platforms, including Google Dialogflow, Rasa framework, and IBM Watson. Conclusions: AI chatbots can playa effective role in combating the COVID-19 pandemic. Increasing people's awareness, optimizing the use of health resources, and reducing unnecessary encounters are some of the advantages of using AI chatbots during the COVID-19 outbreak. Using NLU platforms can be a suitable solution for developing AI chatbots in the healthcare domain. With advancements in the field of artificial intelligence, it seems that AI chatbots will have a promising future in healthcare, particularly in public health, chronic disease management, and mental health. pubtype: Academic Journal doctype: research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|