Fares Antaki

Evaluating the Performance of ChatGPT in Ophthalmology

2023 · 471 Zit. · Ophthalmology Science

Evaluating the Performance of ChatGPT in Ophthalmology: An Analysis of its Successes and Shortcomings

2023 · 103 Zit.

Capabilities of GPT-4 in ophthalmology: an analysis of model entropy and progress towards human-level medical question answering

2023 · 82 Zit. · British Journal of Ophthalmology

Assessing the medical reasoning skills of GPT-4 in complex ophthalmology cases

2024 · 45 Zit. · British Journal of Ophthalmology

Foundation models in ophthalmology

2024 · 30 Zit. · British Journal of Ophthalmology

Medical education with large language models in ophthalmology: custom instructions and enhanced retrieval capabilities

2024 · 28 Zit. · British Journal of Ophthalmology

Generative artificial intelligence in ophthalmology: current innovations, future applications and challenges

2024 · 27 Zit. · British Journal of Ophthalmology

Performance of DeepSeek-R1 in ophthalmology: an evaluation of clinical decision-making and cost-effectiveness

2025 · 15 Zit. · British Journal of Ophthalmology

Opportunities and Challenges of Chatbots in Ophthalmology: A Narrative Review

2024 · 15 Zit. · Journal of Personalized Medicine

Performance of DeepSeek-R1 in Ophthalmology: An Evaluation of Clinical Decision-Making and Cost-Effectiveness

2025 · 13 Zit.

The role of saliency maps in enhancing ophthalmologists’ trust in artificial intelligence models

2024 · 11 Zit. · Asia-Pacific Journal of Ophthalmology

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

2025 · 10 Zit. · JAMA Ophthalmology

Multimodal Performance of GPT-4 in Complex Ophthalmology Cases

2025 · 9 Zit. · Journal of Personalized Medicine

Automated Identification of Stroke Thrombolysis Contraindications from Synthetic Clinical Notes: A Proof-of-Concept Study

2025 · 6 Zit. · Cerebrovascular Diseases Extra

Predicting Visual Improvement after Macular Hole Surgery: a Cautionary Tale on Deep Learning with Very Limited Data

2021 · 3 Zit. · arXiv (Cornell University)