Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Performance of popular large language models in glaucoma patient education: A randomized controlled study
2024·4 Zitationen·Advances in Ophthalmology Practice and ResearchOpen Access
Volltext beim Verlag öffnen4
Zitationen
12
Autoren
2024
Jahr
Abstract
Our research identifies Baichuan 2 and ChatGPT-4.0 as prominent LLMs, offering viable options for glaucoma education.
Ähnliche Arbeiten
Optical Coherence Tomography
1991 · 13.586 Zit.
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
2016 · 7.251 Zit.
Global Prevalence of Glaucoma and Projections of Glaucoma Burden through 2040
2014 · 6.732 Zit.
YOLOv3: An Incremental Improvement
2018 · 5.881 Zit.
Ranibizumab for Neovascular Age-Related Macular Degeneration
2006 · 5.818 Zit.
Autoren
Institutionen
- Shanghai Eye Disease Prevention & Treatment Center(CN)
- Eye & ENT Hospital of Fudan University(CN)
- State Key Laboratory of Synthetic Chemistry(CN)
- Children's Hospital of Fudan University(CN)
- Qingdao Eighth People's Hospital(CN)
- University of Illinois Urbana-Champaign(US)
- Hong Kong Baptist University(HK)
- University of Hong Kong(HK)
Themen
Retinal Imaging and AnalysisArtificial Intelligence in Healthcare and EducationMachine Learning in Healthcare