Generative-AI-Generated Challenges for Health Data Research.

Detalles Bibliográficos
Publicado en:American Journal of Bioethics Vol. 23; no. 10; pp. 1 - 6
Autor principal: Spector-Bagdady, Kayte
Formato: editorial Journal Article
Publicado: Taylor & Francis Ltd Oct2023
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=172995060&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 172995060
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        15265161
        FKZ
      jtl: American Journal of Bioethics
      issn: 15265161
      maglogo: N
    pubinfo:
      dt: Oct2023
      vid: 23
      iid: 10
      pid: 377
      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
    artinfo:
      ui:
        172995060
        172995060
        172995060
        10.1080/15265161.2023.2252311
        172995060
      ppf: 1
      ppct: 5
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Generative-AI-Generated Challenges for Health Data Research.
      aug:
        au: Spector-Bagdady, Kayte
        affil: University of Michigan Medical School
      sug:
        subj:
          Artificial Intelligence, Generative
          Data Management
          Research, Medical Ethical Issues
          Bioethics
          Data Communications
          Scholarship
          Natural Language Processing
          Plagiarism
          Stereotyping
          Accountability
          Data Security Ethical Issues
          Morals
      pubtype: Academic Journal
      doctype:
        editorial
        Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N