Generative-AI-Generated Challenges for Health Data Research.
| Publicado en: | American Journal of Bioethics Vol. 23; no. 10; pp. 1 - 6 |
|---|---|
| Autor principal: | |
| 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 |
|---|