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

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

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OECD FORD obor

50200 - Economics and Business

Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Contemporary Readings in Law and Social Justice

ISSN

1948-9137

e-ISSN

2162-2752

Svazek periodika

15

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

18

Strana od-do

116-133

Kód UT WoS článku

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EID výsledku v databázi Scopus

2-s2.0-85168321140