Centre for Eye Research Australia

A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology

Jane Scheetz, Philip Rothschild, Myra B. McGuinness et al.

2021 · 260 Zit.

Large language models and their impact in ophthalmology

Bjorn Kaijun Betzler, Haichao Chen, Ching‐Yu Cheng et al.

2023 · 128 Zit.

The use and future perspective of Artificial Intelligence—A survey among German surgeons

Mathieu Pecqueux, Carina Riediger, Marius Distler et al.

2022 · 33 Zit.

Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients

Felix Busch, Lena Hoffmann, Lina Xu et al.

2025 · 31 Zit.

Attitudes of optometrists towards artificial intelligence for the diagnosis of retinal disease: A cross‐sectional mail‐out survey

Sharon Ho, Gordon S. Doig, Angelica Ly

2022 · 21 Zit.

Overview of Artificial Intelligence in Medicine

Chi Liu, Zachary Tan, Mingguang He

2022 · 14 Zit.

Deep Learning Algorithms and the Protection of Data Privacy

Kurt K. Benke, Janan Arslan

2020 · 6 Zit.

Rebooting artificial intelligence for health

William Mitchell, Judy Gichoya Wawira, Leo Anthony Celi

2025 · 5 Zit.

Dr <scp>AI</scp> will see you now

Alex W. Hewitt

2023 · 1 Zit.

Impact of artificial intelligence on the availability, accessibility, acceptability and quality of ophthalmic disease screening services: a scoping review

Senlin Lin, Juzhao Zhang, Catherine Jan 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.

Should this artificial intelligence algorithm be used in my practice now? A checklist approach: Response

George Kong, Graham Lee, Chun‐Huei Liu

2024 · 0 Zit.

Developing and Testing an Engineering Framework for Curiosity-Driven and Humble AI in Clinical Decision Support

Janan Arslan, Kurt K. Benke, Sebastian Cajas et al.

2026 · 0 Zit.