Ocular research reveals AI age estimation and new vision restoration treatments

Recent medical research has highlighted new ways to assess systemic health and treat vision loss through ocular interventions.

A study utilizing artificial intelligence has demonstrated that retinal images can estimate a person's biological age. By analyzing fundus photographs from over 71,000 British adults, researchers developed a model capable of estimating chronological age with an average error of approximately three years. A discrepancy where the retina appears older than the individual's actual age is linked to poorer health profiles, including higher blood pressure, increased BMI, smoking history, and higher risks of cardiovascular disease, stroke, dementia, and certain cancers.

In a separate clinical development, researchers from Moorfields Eye Hospital and UCL have found success in treating ocular hypotony using hydroxypropyl methylcellulose (HPMC). This common, inexpensive surgical gel was used to restore intraocular pressure and eye geometry in seven out of eight patients in a small clinical series. By providing volume to the eye, the gel helps stabilize the retina and lens, potentially reversing vision impairment caused by collapsed eye structures.