This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (664) New Methods (1054) Machine Learning (1816) Artificial Intelligence (1831) Formative Evaluation of Digital Health Interventions (2912) Advanced Data Analytics in eHealth (171) Clinical Information and Decision Making (1721)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70070, first published .
Exploring Generative Pre-Trained Transformer-4-Vision for Nystagmus Classification: Development and Validation of a Pupil-Tracking Process

Exploring Generative Pre-Trained Transformer-4-Vision for Nystagmus Classification: Development and Validation of a Pupil-Tracking Process

Exploring Generative Pre-Trained Transformer-4-Vision for Nystagmus Classification: Development and Validation of a Pupil-Tracking Process

Authors of this article:

Masao Noda1, 2 Author Orcid Image ;   Ryota Koshu2 Author Orcid Image ;   Reiko Tsunoda1 Author Orcid Image ;   Hirofumi Ogihara1 Author Orcid Image ;   Tomohiko Kamo1 Author Orcid Image ;   Makoto Ito2 Author Orcid Image ;   Hiroaki Fushiki1 Author Orcid Image
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