Current status and solutions for AI ethics in ophthalmology: a bibliometric analysis.

StudyNPJ digital medicine· Oct 2025

Current status and solutions for AI ethics in ophthalmology: a bibliometric analysis.

Xinwei Chen, Yahan Yang, Dongyuan Yun … Haotian Lin

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OphthalmologyStudyQ1IF 18.0

Most ophthalmic artificial intelligence ethics studies address diagnostic algorithm development.

Current status and solutions for AI ethics in ophthalmology: a bibliometric analysis.

Xinwei Chen … Haotian Lin

NPJ digital medicine · Oct 2025 · Q1 in General Medicine

Background

Ophthalmology, an early adopter of medical artificial intelligence (artificial intelligence), has made significant advancements, but ethical discussions limited.

Results

most studies examined ethics while developing artificial intelligence tools that diagnose eye conditions

78.3%

diagnostic algorithm d

11.5%

directly target ethica

More results

This bibliometric analysis reviewed 498 publications from Web of Science and Scopus (2000-2023) to explore the evolution, status, thematic trends, data modalities and their ethical focus, and solutions in ophthalmic artificial intelligence ethics.

Ethical concerns focus on privacy, fairness, and transparency.

More results

Ethical priorities differ by modality with fundus imaging (59.4%) and Optical Coherence Tomography (Optical Coherence Tomography) (30.9%) as the most common.

“

Conclusion

This study highlights the need for artificial intelligence technologies and guidelines to address ethical challenges in ophthalmology, offering a future direction for research and innovation in medical artificial intelligence governance.

Current status and solutions for AI ethics in ophthalmology: a bibliometric analysis.

Current status and solutions for AI ethics in ophthalmology: a bibliometric analysis.

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