Literature DB >> 32503298

AI Chatbot Design during an Epidemic Like the Novel Coronavirus.

Gopi Battineni1, Nalini Chintalapudi1, Francesco Amenta1,2.   

Abstract

Since the discovery of the Coronavirus (nCOV-19), it has become a global pandemic. At the same time, it has been a great challenge to hospitals or healthcare staff to manage the flow of the high number of cases. Especially in remote areas, it is becoming more difficult to consult a medical specialist when the immediate hit of the epidemic has occurred. Thus, it becomes obvious that if effectively designed and deployed chatbot can help patients living in remote areas by promoting preventive measures, virus updates, and reducing psychological damage caused by isolation and fear. This study presents the design of a sophisticated artificial intelligence (AI) chatbot for the purpose of diagnostic evaluation and recommending immediate measures when patients are exposed to nCOV-19. In addition, presenting a virtual assistant can also measure the infection severity and connects with registered doctors when symptoms become serious.

Entities:  

Keywords:  AI; artificial intelligence markup language (AIML); chat bots; functionalities; nCOV-19

Year:  2020        PMID: 32503298     DOI: 10.3390/healthcare8020154

Source DB:  PubMed          Journal:  Healthcare (Basel)        ISSN: 2227-9032


  15 in total

1.  How Personality and Communication Patterns Affect Online ad-hoc Teams Under Pressure.

Authors:  Federica Lucia Vinella; Chinasa Odo; Ioanna Lykourentzou; Judith Masthoff
Journal:  Front Artif Intell       Date:  2022-05-27

2.  Exploring the Influential Factors of Consumers' Willingness Toward Using COVID-19 Related Chatbots: An Empirical Study.

Authors:  Manal Almalki
Journal:  Med Arch       Date:  2021-02

Review 3.  Digital microbiology.

Authors:  A Egli; J Schrenzel; G Greub
Journal:  Clin Microbiol Infect       Date:  2020-06-27       Impact factor: 8.067

4.  Telemedicine framework to mitigate the impact of the COVID-19 pandemic.

Authors:  Gopi Battineni; Graziano Pallotta; Giulio Nittari; Francesco Amenta
Journal:  J Taibah Univ Med Sci       Date:  2021-01-14

5.  Assessment of Awareness and Knowledge on Novel Coronavirus (COVID-19) Pandemic among Seafarers.

Authors:  Gopi Battineni; Getu Gamo Sagaro; Nalini Chintalapudi; Marzio Di Canio; Francesco Amenta
Journal:  Healthcare (Basel)       Date:  2021-01-25

6.  Leveraging conversational technology to answer common COVID-19 questions.

Authors:  Mollie McKillop; Brett R South; Anita Preininger; Mitch Mason; Gretchen Purcell Jackson
Journal:  J Am Med Inform Assoc       Date:  2021-03-18       Impact factor: 4.497

7.  Lights and Shadows of the Perception of the Use of Telemedicine by Romanian Family Doctors During the COVID-19 Pandemic.

Authors:  Mira Florea; Cecilia Lazea; Remus Gaga; Genel Sur; Lucia Lotrean; Aida Puia; Ana Maria Alexandra Stanescu; Monica Lupsor-Platon; Horatiu Florea; Maria Lucia Sur
Journal:  Int J Gen Med       Date:  2021-04-29

8.  Perceived Utilities of COVID-19 Related Chatbots in Saudi Arabia: a Cross-sectional Study.

Authors:  Manal Almalki
Journal:  Acta Inform Med       Date:  2020-09

9.  Examining the effect of explanation on satisfaction and trust in AI diagnostic systems.

Authors:  Lamia Alam; Shane Mueller
Journal:  BMC Med Inform Decis Mak       Date:  2021-06-03       Impact factor: 2.796

10.  Health Chatbots for Fighting COVID-19: a Scoping Review.

Authors:  Manal Almalki; Fahad Azeez
Journal:  Acta Inform Med       Date:  2020-12
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