Healthcare Generative Artificial Intelligence Tools in Medical Diagnosis, Treatment, and Prognosis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F23%3A00002640" target="_blank" >RIV/75081431:_____/23:00002640 - isvavai.cz</a>
Result on the web
<a href="https://addletonacademicpublishers.com/contents-crlsj/2779-volume-15-1-2023/4504-healthcare-generative-artificial-intelligence-tools-in-medical-diagnosis-treatment-and-prognosis" target="_blank" >https://addletonacademicpublishers.com/contents-crlsj/2779-volume-15-1-2023/4504-healthcare-generative-artificial-intelligence-tools-in-medical-diagnosis-treatment-and-prognosis</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Healthcare Generative Artificial Intelligence Tools in Medical Diagnosis, Treatment, and Prognosis
Original language description
This paper provides a systematic literature review of studies inves-tigating how ChatGPT can be deployed in clinical decision support and practice, producing precise differential diagnosis lists and providing reliable disease and medical query-related information with regard to real-time monitoring and personalized treatment. The analysis highlights that generative artificial intelligence tools enable medical decision-making and analyze patient data, resulting in better patient outcomes and in enhanced access to care. Throughout March 2023, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “healthcare genera tive artificial intelligence tools” + “medical diagnosis,” “medical treatment,” and “medical prognosis.” As we inspected research published in 2023, only 174 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 38, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, MMAT, and ROBIS.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
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
Contemporary Readings in Law and Social Justice
ISSN
1948-9137
e-ISSN
2162-2752
Volume of the periodical
15
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
18
Pages from-to
81-98
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85168337999