ChatGPT: beneficial or detrimental in the absence of professional mental health care?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A96540" target="_blank" >RIV/60460709:41110/23:96540 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1093/pubmed/fdad184" target="_blank" >https://doi.org/10.1093/pubmed/fdad184</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/pubmed/fdad184" target="_blank" >10.1093/pubmed/fdad184</a>
Alternative languages
Result language
angličtina
Original language name
ChatGPT: beneficial or detrimental in the absence of professional mental health care?
Original language description
The article discusses the comparison of Artificial Intelligence (AI) and human experts in mental health care. The authors suggest that the focus should shift from comparing AI to human experts to understanding AI's net impact when professional care is unavailable. They highlight the global shortage of mental health professionals and the significant barriers to accessing care. The article argues for assessing whether AI chatbots are more harmful or beneficial for individuals with limited access to mental health care, rather than debating AI's superiority or inferiority to human experts.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30304 - Public and environmental health
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
JOURNAL OF PUBLIC HEALTH
ISSN
1741-3842
e-ISSN
1741-3842
Volume of the periodical
neuvedeno
Issue of the periodical within the volume
neuvedeno
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
1
Pages from-to
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UT code for WoS article
001071407100001
EID of the result in the Scopus database
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