Jocelyn Hui Lin Goh

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

2023 · 296 Zit. · EBioMedicine

Artificial intelligence for diabetes care: current and future prospects

2024 · 78 Zit. · The Lancet Diabetes & Endocrinology

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

2023 · 77 Zit. · iScience

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

2025 · 10 Zit. · JAMA Ophthalmology

Understanding the robustness of vision-language models to medical image artefacts

2025 · 2 Zit. · npj Digital Medicine

Revealing the Impact of Pre-training Data on Medical Foundation Models

2025 · 2 Zit.

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

2025 · 1 Zit. · ArXiv.org

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

2025 · 0 Zit. · Ophthalmology Science

Prospective real-world implementation of deep learning systems in healthcare: a systematic review guided by implementation science

2026 · 0 Zit. · npj Digital Medicine

Agentic artificial intelligence in eye care: is clinical autonomy finally within reach?

2026 · 0 Zit. · The Lancet Digital Health

Evaluation of a Community-Based AI-Assisted Visual Impairment Screening Model for Performance, Operational Efficiency, Acceptability, Feasibility, and Costs: Protocol for a 2-Arm Pragmatic Randomized Controlled Trial

2025 · 0 Zit. · JMIR Research Protocols