Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Franklin Y Ruan

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
Translational Vision Science & Technology|April 16, 2026
Benchmarking GPT-5, LLaMA, and Mistral for Clinical Named Entity Recognition in Ophthalmology Progress NotesIyad Majid, Franklin Y Ruan, Sophia Y Wang
IEEE Journal of Biomedical and Health Informatics|May 19, 2026
A Foundation Model for Wearable Movement Data in Mental Health ResearchFranklin Y Ruan, Aiwei Zhang, Jenny Y Oh, et al.
Arxiv|December 9, 2024
AI Foundation Models for Wearable Movement Data in Mental Health ResearchFranklin Y Ruan, Aiwei Zhang, Jenny Y Oh, et al.
Ophthalmology Science|November 17, 2025
Leveraging Large Language Models with Sequential Prompting to Extract Eye Examination Findings from Free-Text Ophthalmology NotesFranklin Y Ruan, Justin W Lam, Houri Esmaeilkhanian, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Translational Vision Science & Technology|April 16, 2026
Benchmarking GPT-5, LLaMA, and Mistral for Clinical Named Entity Recognition in Ophthalmology Progress NotesIyad Majid, Franklin Y Ruan, Sophia Y Wang
IEEE Journal of Biomedical and Health Informatics|May 19, 2026
A Foundation Model for Wearable Movement Data in Mental Health ResearchFranklin Y Ruan, Aiwei Zhang, Jenny Y Oh, et al.
Arxiv|December 9, 2024
AI Foundation Models for Wearable Movement Data in Mental Health ResearchFranklin Y Ruan, Aiwei Zhang, Jenny Y Oh, et al.
Ophthalmology Science|November 17, 2025
Leveraging Large Language Models with Sequential Prompting to Extract Eye Examination Findings from Free-Text Ophthalmology NotesFranklin Y Ruan, Justin W Lam, Houri Esmaeilkhanian, et al.
Pageof 1