Cleveland Eye Clinic

Current Challenges and Barriers to Real-World Artificial Intelligence Adoption for the Healthcare System, Provider, and the Patient

Rishi P. Singh, Grant L. Hom, Michael D. Abràmoff et al.

2020 · 233 Zit.

Evaluation and Comparison of Ophthalmic Scientific Abstracts and References by Current Artificial Intelligence Chatbots

Hong-Uyen Hua, Abdul-Hadi Kaakour, Aleksandra Rachitskaya et al.

2023 · 62 Zit.

Artificial intelligence and academic publishing

William J. Dupps

2023 · 27 Zit.

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

David Mikhail, Andrew Farah, Jason Milad et al.

2025 · 15 Zit.

Opportunities and Challenges of Chatbots in Ophthalmology: A Narrative Review

Mehmet Cem Sabaner, Rodrigo Anguita, Fares Antaki et al.

2024 · 15 Zit.

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

Sahana Srinivasan, X. C. Ai, Minjie Zou et al.

2025 · 10 Zit.

Multimodal Performance of GPT-4 in Complex Ophthalmology Cases

David Mikhail, Daniel Milad, Fares Antaki et al.

2025 · 9 Zit.

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

Bing Yu Chen, Fares Antaki, Marco González et al.

2025 · 7 Zit.

DeepSeek-R1 vs OpenAI o1 for Ophthalmic Diagnoses and Management Plans

David Mikhail, Andrew Farah, Jason Milad et al.

2025 · 3 Zit.

Transforming Brazilian healthcare with AI: progress and future perspectives

Victor C. F. Bellanda, A. Medeiros, Daniel Ferraz

2025 · 3 Zit.

Explainable Artificial Intelligence (XAI) in the Era of Large Language Models: Applying an XAI Framework in Pediatric Ophthalmology Diagnosis using the Gemini Model.

Dipak Prasad Upadhyaya, Katrina Prantzalos, Pedram Golnari et al.

2025 · 1 Zit.

Analysis of agreement of clinical experts to B-scan of interest algorithm

Mahsa Darvishzadeh Varcheie, Katherine Makedonsky, Gary C Lee et al.

2021 · 0 Zit.

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

Sahana Srinivasan, Xuguang Ai, Thaddaeus Wai Soon Lo et al.

2025 · 0 Zit.

Big data in ophthalmology: comparative databases and research applications

Mohammad Ayoubi, Mohamed S. Sayed, Mohamed M. Khodeiry et al.

2025 · 0 Zit.

Can ‘Deep Research’ agents and general AI agentic systems autonomously perform systematic review and meta-analysis?

Wan Ting Loke, Sahana Srinivasan, Guang Yang et al.

2025 · 0 Zit.