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Development and Evaluation of Research Methods, Instruments and Tools (1278) Clinical Information and Decision Making (3587) New Methods (1758) Advanced Data Analytics in eHealth (341) Machine Learning (3085) Formative Evaluation of Digital Health Interventions (4994) Artificial Intelligence (4600)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70070, first published .
Extreme close-up of a blue and brown human eye, showing iris detail and eyelashes.

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
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Balasubramanian K, Danesh A, Pandya A. Comprehensive Review of Nystagmus and Vertigo Diagnostics: From Pathological Foundations to AI-Driven Telemedicine. Sensors 2026;26(12):3949 View
  2. Aşar E, Muslu Dinç B, Yavşan Z. AI-based diagnostic evaluation of GPT-4o for crown-fracture detection on maxillary periapical radiographs: effects of prompt detail and customization. BMC Oral Health 2026;26(1) View