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Ophthalmological Question Answering and Reasoning Using OpenAI o1 vs Other Large Language Models
10
Zitationen
19
Autoren
2025
Jahr
Abstract
This study found that o1 excelled in accuracy but showed inconsistencies in text-generation metrics, trailing GPT-4o and GPT-4; expert reviews found o1's responses to be more clinically useful and better organized than GPT-4o. While o1 demonstrated promise, its performance in addressing ophthalmology-specific challenges is not fully optimal, underscoring the potential need for domain-specialized LLMs and targeted evaluations.
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Autoren
Institutionen
- National University of Singapore(SG)
- Singapore National Eye Center(SG)
- Singapore Eye Research Institute(SG)
- Yale University(US)
- Second Affiliated Hospital of Zhejiang University(CN)
- Cleveland Clinic(US)
- Cleveland Eye Clinic(US)
- Artificial Intelligence in Medicine (Canada)(CA)
- National University Hospital(SG)
- Duke-NUS Medical School(SG)