Krithi Pushpanathan

Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard

2023 · 302 Zit. · EBioMedicine

Artificial intelligence for diabetes care: current and future prospects

2024 · 81 Zit. · The Lancet Diabetes & Endocrinology

Popular large language model chatbots’ accuracy, comprehensiveness, and self-awareness in answering ocular symptom queries

2023 · 79 Zit. · iScience

Review of emerging trends and projection of future developments in large language models research in ophthalmology

2023 · 25 Zit. · British Journal of Ophthalmology

Ophthalmological Question Answering and Reasoning Using OpenAI o1 vs Other Large Language Models

2025 · 11 Zit. · JAMA Ophthalmology

Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study

2025 · 2 Zit. · ArXiv.org

BEnchmarking LLMs for Ophthalmology (BELO) for Ophthalmological Knowledge and Reasoning

2025 · 1 Zit. · ArXiv.org

LEME: Open Large Language Models for Ophthalmology with Advanced Reasoning and Clinical Validation

2024 · 1 Zit. · arXiv (Cornell University)

BEnchmarking Large Language Models for Ophthalmology (BELO): An Expert-Curated Data Set and Evaluation Framework for Knowledge and Reasoning

2025 · 0 Zit. · Ophthalmology Science

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2025 · 0 Zit. · Ophthalmology Science