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Currently submitted to: JMIR Dermatology

Date Submitted: Oct 15, 2026
Open Peer Review Period: Oct 27, 2026 - Dec 22, 2026
(currently open for review)

Warning: This is an author submission that is not peer-reviewed or edited.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.

Dynamic Video Versus Static Image Input for Multimodal Generative AI Diagnosis of Motion-Dependent Dermatologic Conditions: A Paired Case Series

  • Victor Lim; 
  • Henry Moon

ABSTRACT

In three paired dermatologic cases using a video-capable multimodal AI model, dynamic video improved reference-diagnostic ranking or confidence beyond matched static images alone, highlighting the potential value of dynamic observation when diagnostic information involve position, movement or change over time.


 Citation

Please cite as:

Lim V, Moon H

Dynamic Video Versus Static Image Input for Multimodal Generative AI Diagnosis of Motion-Dependent Dermatologic Conditions: A Paired Case Series

JMIR Preprints. 15/10/2026:114524

DOI: 10.2196/preprints.114524

URL: https://preprints.jmir.org/preprint/114524

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