Correction: Frankenstein, thematic analysis and generative artificial intelligence: Quality appraisal methods and considerations for qualitative research

Authors

Justin Keogh (ORCID: https://orcid.org/0000-0001-9851-1068)
Cher McGillivray (ORCID: https://orcid.org/0000-0002-5773-5820)
Tanisha Jowsey (ORCID: https://orcid.org/0000-0003-1499-9225)
Alexandra Davidson (ORCID: https://orcid.org/0000-0002-0445-3299)
Shawna Campbell (ORCID: https://orcid.org/0000-0002-0606-4529)
Peta Stapleton (ORCID: https://orcid.org/0000-0001-9916-7481)
Megan Lee (ORCID: https://orcid.org/0000-0001-7531-5312)

Publication Details

Journal: PLoS ONE
Published: 2025-11-25
DOI: https://doi.org/10.1371/journal.pone.0337734
Primary Topic: Artificial Intelligence in Healthcare and Education
Type: article
Field-Weighted Citation Impact: 0.00

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article

Correction: Frankenstein, thematic analysis and generative artificial intelligence: Quality appraisal methods and considerations for qualitative research

Justin Keogh, Cher McGillivray, Tanisha Jowsey, Alexandra Davidson et al.

Nov 25, 2025

PLoS ONE

Artificial Intelligence in Healthcare and Education

article

Correction: Frankenstein, thematic analysis and generative artificial intelligence: Quality appraisal methods and considerations for qualitative research

Justin Keogh, Cher McGillivray, Tanisha Jowsey, Alexandra Davidson, Shawna Campbell, Peta Stapleton, Megan Lee

November 25, 2025article en

Abstract

No abstract available for this paper.

PLoS ONEVol. 20(11)

Openalex Percentile: Top 70%

Artificial Intelligence in Healthcare and Education

DOI Open Access PDF OpenAlex

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