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Zsuzsanna Győrffy

Biographic Data

ID9083222
NAMEZsuzsanna Győrffy
GIVEN NAMESZsuzsanna
FAMILY NAMEGyőrffy
SIGNATUREGYÖRFFY Z
AFFILIATIONSSemmelweis University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2018
H-INDEX0
  • Will artificial intelligence solve the human resource crisis in healthcare

    Open Access•Bertalan Meskó, Gergely Hetényi et al.•ARTICLE•BMC Health Services Research•2018

    Artificial intelligence (AI) has the potential to ease the human resources crisis in healthcare by facilitating diagnostics, decision-making, big data analytics and administration, among others. For this we must first tackle the technological, ethical and legal obstacles.The human resource crisis is widening worldwide, and it is obvious that it is not possible to provide care without workforce. How can disruptive technologies in healthcare help s…

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  • Will artificial intelligence solve the human resource crisis in healthcare

    Open Access•Bertalan Meskó, Gergely Hetényi et al.•ARTICLE•BMC Health Services Research•2018

    Artificial intelligence (AI) has the potential to ease the human resources crisis in healthcare by facilitating diagnostics, decision-making, big data analytics and administration, among others. For this we must first tackle the technological, ethical and legal obstacles.The human resource crisis is widening worldwide, and it is obvious that it is not possible to provide care without workforce. How can disruptive technologies in healthcare help s…

Analytics (1 work) · Artificial Intelligence (1 work) · Big data (1 work) · Computer Science (1 work) · COVID-19 and healthcare impacts (1 work) · Curriculum (1 work) · Data science (1 work) · Diversity and Career in Medicine (1 work) · Economics (1 work) · Engineering (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae