aceFrom Algorithm to Care: AI-Assisted Glaucoma Screening in Real-World Settings
Glaucoma screening is increasingly being discussed in the context of artificial intelligence (AI), particularly as imaging technologies become more accessible outside specialist clinics.The question, however, is not simply whether AI can identify a suspicious optic nerve head, but whether it can contribute to a screening pathway that works in real-world clinical settings.Fundus image-based AI has shown promising performance and is now being explored in community and primary eye care.The clinical value of these a…
Fundus image-based AI has shown promising performance and is being explored in community and primary eye care, extending glaucoma screening beyond specialist clinics.
Poor image quality, unnecessary referrals from indiscriminate screening, and incomplete referral follow-through can prevent AI-flagged glaucoma risk from becoming timely diagnosis and treatment.
The source states that the role of portable or tablet-based visual field testing at the primary-care level remains to be established, so parts of the proposed screening strategy are unproven.
Evidence
- Peer-reviewedCureus2026-10-14
How should this claim be treated?
Truvace Impact Record TRV-2026-1474, v1: “From Algorithm to Care: AI-Assisted Glaucoma Screening in Real-World Settings.” Truvace, 2026-10-15. /record/TRV-2026-1474 (accessed at citation time). sha256 96eee012859c045e…
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