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<ArticleSet>
<Article>
<Journal>
<PublisherName>Iranian Association of Medical Informatics</PublisherName>
<JournalTitle>Frontiers in Health Informatics</JournalTitle>
<Issn>2676-7104</Issn>
<Volume>13</Volume>
<Issue>0</Issue>
<PubDate>
<Year>2024</Year>
<Month>04</Month>
<Day>07</Day>
</PubDate>
</Journal>
<ArticleTitle>Chatbots Utility in Healthcare Industry: An Umbrella Review</ArticleTitle>
<FirstPage>561</FirstPage>
<LastPage>561</LastPage>
<ELocationID>10.30699/fhi.v13i0.561</ELocationID>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Amir Masoud</FirstName>
<LastName>Afsahi</LastName>
<Affiliation>Department of Radiology, School of Medicine, University of California, San Diego, California,. amir.masoud.afsahi@gmail.com</Affiliation>
</Author>
<Author>
<FirstName>Seyed Ahmad</FirstName>
<LastName>Seyed Alinaghi</LastName>
</Author>
<Author>
<FirstName>Ayoob</FirstName>
<LastName>Molla</LastName>
</Author>
<Author>
<FirstName>Pegah</FirstName>
<LastName>Mirzapour</LastName>
</Author>
<Author>
<FirstName>Shima</FirstName>
<LastName>Jahani</LastName>
</Author>
<Author>
<FirstName>Armin</FirstName>
<LastName>Razi</LastName>
</Author>
<Author>
<FirstName>Paniz</FirstName>
<LastName>Mojdeganlou</LastName>
</Author>
<Author>
<FirstName>Elaheh</FirstName>
<LastName>Karimi</LastName>
</Author>
<Author>
<FirstName>Mohammad</FirstName>
<LastName>Mehrtak</LastName>
</Author>
<Author>
<FirstName>Omid</FirstName>
<LastName>Dadras</LastName>
</Author>
<Author>
<FirstName>Ghazaleh</FirstName>
<LastName>Afsahi</LastName>
</Author>
<Author>
<FirstName>Shahla</FirstName>
<MiddleName>F.</MiddleName>
<LastName>Syed</LastName>
</Author>
<Author>
<FirstName>Alexander</FirstName>
<LastName>Norbash</LastName>
</Author>
<Author>
<FirstName>Esmaeil</FirstName>
<LastName>Mehraeen</LastName>
</Author>
</AuthorList>
<History>
<PubDate>
<Year>2023</Year>
<Month>12</Month>
<Day>27</Day>
</PubDate>
<PubDate>
<Year>2024</Year>
<Month>03</Month>
<Day>08</Day>
</PubDate>
<PubDate>
<Year>2024</Year>
<Month>03</Month>
<Day>05</Day>
</PubDate>
</History>
<Abstract>Introduction: Chatbots, computer programs emulating natural language conversations, have gained attention in healthcare. Recent advances address issues like obesity, dementia, oncology, and insomnia. A comprehensive assessment of their utility is essential for widespread adoption. This study aims to summarize chatbots' role in healthcare.Materials and Methods:  The methodology involved a systematic review of English-language literature up to May 8, 2023, from databases of Embase, PubMed, Web of Science, and Scopus. Selection followed a two-step process based on inclusion/exclusion criteria. The PRISMA checklist and AMSTAR-2 tool ensured quality.Results: The review encompassed 38 articles. Findings reveal chatbots primarily promote healthy lifestyles, improving mental well-being. They are widely used for treatment, education, and screening due to their accessibility.Conclusion: Chatbots hold transformative potential in healthcare, especially in mental health, cancer management, and public health. They are poised to revolutionize the industry, offering innovative solutions and improving patient outcomes.</Abstract>
<ObjectList>
<Object>
<Param>Chatbots</Param>
</Object>
<Object>
<Param>Healthcare</Param>
</Object>
<Object>
<Param>ChatGPT</Param>
</Object>
<Object>
<Param>Large Language Models</Param>
</Object>
<Object>
<Param>LLMs</Param>
</Object>
<Object>
<Param>COVID-19</Param>
</Object>
<Object>
<Param></Param>
</Object>
</ObjectList>
</Article>
</ArticleSet>

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