aceAI image generation technology in ophthalmology: Use, misuse and future applications
BACKGROUND: AI-powered image generation technology holds the potential to reshape medical practice, yet it remains an unfamiliar technology for both medical researchers and clinicians alike. Given the adoption of this technology relies on clinician understanding and acceptance, we sought to demystify its use in ophthalmology. To this end, we present a literature review on image generation technology in ophthalmology, examining both its theoretical applications and future role in clinical practice. METHODS: First…
Literature prior to September 2024 reports generative models being applied in ophthalmology to improve diagnostic AI, enable inter-modality transformation, improve treatment and prognostication, denoise images, and support individualized education.
Technology remains early-stage with inconsistent validation, explainability challenges, and adoption barriers including bias, data security, and compute costs.
Evidence
- Peer-reviewedProgress in Retinal and Eye Research2025-03-17
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Truvace Impact Record TRV-2026-0539, v1: “AI image generation technology in ophthalmology: Use, misuse and future applications.” Truvace, 2026-07-24. /record/TRV-2026-0539 (accessed at citation time). sha256 27e0f388c4c747a5…
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