Generative Artificial Intelligence-based Clinical Decision Support in Patient Data Collection and Analysis, in Physiological Parameter Monitoring, and in Image-based Disease Diagnosis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F23%3A00002639" target="_blank" >RIV/75081431:_____/23:00002639 - isvavai.cz</a>

Result on the web

<a href="https://addletonacademicpublishers.com/contents-crlsj/2779-volume-15-1-2023/4502-generative-artificial-intelligence-based-clinical-decision-support-in-patient-data-collection-and-analysis-in-physiological-parameter-monitoring-and-in-image-based-disease-d" target="_blank" >https://addletonacademicpublishers.com/contents-crlsj/2779-volume-15-1-2023/4502-generative-artificial-intelligence-based-clinical-decision-support-in-patient-data-collection-and-analysis-in-physiological-parameter-monitoring-and-in-image-based-disease-d</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Generative Artificial Intelligence-based Clinical Decision Support in Patient Data Collection and Analysis, in Physiological Parameter Monitoring, and in Image-based Disease Diagnosis

Original language description

We draw on a substantial body of theoretical and empirical research on how ChatGPT is instrumental in clinical decision support, in medical record abstraction, and in treatment recommendation provision by inspecting massive quantities of patient data, that is an emerging topic involving much interest. In this research, prior findings were cumulated indicating that generative artificial intelligence technologies can assist in timely and accurate clinical diagnosis procedures and treatment planning, and in medical knowledge and support. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout March 2023, with search terms including “generative artificial intelligence-based clinical decision support” + “patient data collection and analysis,” “physiological parameter monitoring,” and “image-based disease diagnosis.” As we analyzed research published in 2023, only 173 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, we decided on 44, chiefly 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, ROBIS, and SRDR.

Czech name

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Czech description

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Type

J_SC - 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

Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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

116-133

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85168321140