A Practical Guide for Using Generative AI in Academic Research.
The article focuses on the integration of generative artificial intelligence (AI) in academic research, highlighting its applications in idea generation, literature review, data analysis, manuscript writing, source citation, and grant writing. While these AI tools can enhance efficiency and accessib...
| Publicado en: | Radiologic Technology Vol. 97; no. 3; pp. 176 - 182 |
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| Autor principal: | |
| Formato: | tables/charts Journal Article |
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American Society of Radiologic Technologists
Jan/Feb2026
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| 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=190171446&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190171446 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00338397 39J jtl: Radiologic Technology issn: 00338397 maglogo: N pubinfo: dt: Jan/Feb2026 vid: 97 iid: 3 pid: 7052 pub: American Society of Radiologic Technologists place: Alburquerque, New Mexico artinfo: ui: 190171446 190171446 190171446 190171446 ppf: 176 ppct: 6 formats: fmt: @attributes: type: P tig: atl: A Practical Guide for Using Generative AI in Academic Research. aug: au: Clark, Kevin R. affil: Associate professor and associate director with the School of Health Professions at The University of Texas MD Anderson Cancer Center in Houston sug: subj: Artificial Intelligence, Generative Research Methodology Research Ethics Publishing Scholarly Communication Authorship Data Analysis Literature Review Writing for Publication Environmental Health ab: The article focuses on the integration of generative artificial intelligence (AI) in academic research, highlighting its applications in idea generation, literature review, data analysis, manuscript writing, source citation, and grant writing. While these AI tools can enhance efficiency and accessibility, the article emphasizes the necessity of critical oversight to ensure academic integrity, as researchers remain responsible for validating the accuracy and originality of AI-generated content. It also discusses the ethical considerations and publisher guidelines that researchers must follow when utilizing AI technologies, underscoring the importance of transparency in disclosing AI usage in scholarly work. Additionally, the article addresses the environmental implications of AI and the ongoing efforts to establish sustainable practices in its application. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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