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Currently submitted to: JMIR Dermatology

Date Submitted: Oct 28, 2026
Open Peer Review Period: Nov 5, 2026 - Dec 31, 2026
(currently open for review)
Peer Review Me

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

An Artificial Intelligence-Assisted, Human-Verified, Open-Access Dermatopathology Learning Platform

  • Izadora Lapenda; 
  • Sumeyye Ozer; 
  • Kiran Javaid; 
  • Shaunt Mehdikhani; 
  • Rachel Christensen; 
  • Maria Elisabetta Greco; 
  • Ata S. Moshiri; 
  • Shadi Khalil; 
  • Adeel Ahmad; 
  • Dan Ronaldo Lopez; 
  • Babar Rao

ABSTRACT

Informed by a needs assessment of learners in a free global dermatopathology teaching program, we developed an open-access question bank and spaced-repetition flashcard platform through a large language model-assisted workflow with programmatic citation verification and expert review, and we report 6 months of early engagement data as the preliminary phase of a planned outcome evaluation.


 Citation

Please cite as:

Lapenda I, Ozer S, Javaid K, Mehdikhani S, Christensen R, Greco ME, Moshiri AS, Khalil S, Ahmad A, Lopez DR, Rao B

An Artificial Intelligence-Assisted, Human-Verified, Open-Access Dermatopathology Learning Platform

JMIR Preprints. 28/10/2026:115613

DOI: 10.2196/preprints.115613

URL: https://preprints.jmir.org/preprint/115613

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