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Accepted for/Published in: JMIR Medical Education

Date Submitted: May 18, 2026
Date Accepted: Jun 17, 2026

The final, peer-reviewed published version of this preprint can be found here:

Methodological Concerns in AI Medical Education Frameworks

Fatima SU, Fatima E, Kumari R

Methodological Concerns in AI Medical Education Frameworks

JMIR Med Educ 2026;12:e101696

DOI: 10.2196/101696

PMID: 42406890

Title: Methodological Concerns in AI Medical Education Frameworks

  • Syeda Urooj Fatima; 
  • Emaan Fatima; 
  • Ragni Kumari

ABSTRACT

We submit this letter to the editor in response to Izquierdo-Condoy et al. (JMIR Med Educ. 2026;12:e77127). Our letter raises two methodological concerns: first, a citation distortion in which the reference cited to support low- and middle-income country (LMIC) equity claims does not contain LMIC-specific data or populations; and second, premature endorsement of the FACETS framework, which is supported solely by retrospective mapping of two single-institution feasibility studies from high-income European settings, neither designed to test the framework and both reporting unresolved AI performance limitations.


 Citation

Please cite as:

Fatima SU, Fatima E, Kumari R

Methodological Concerns in AI Medical Education Frameworks

JMIR Med Educ 2026;12:e101696

DOI: 10.2196/101696

PMID: 42406890

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