CET and skills guides

Study and gain CET points through OT’s online CET exams, and access archived CET, CPD articles and skills guides in our education library

Find out more

Science and vision

News and features about the latest scientific developments and advances in optometry, ophthalmology and eye medicine

Find out more


News and features about the latest developments in optics with a focus on industry

Find out more

Professional support

News and features about the latest developments relating to professional support from across optics. This includes updates from optical organisations such as the AOP and the GOC

Find out more

In practice

News and in-depth features about business management and career development in optics

Find out more


Explore the latest UK and global jobs in the optical sector for optometrists, dispensing opticians and more

Find out more

AI predicts age, gender and smoking status from retinal images

Artificial intelligence can determine cardiovascular risk factors by assessing a fundus image

Retinal image

While some believe that the eyes are a window into the soul, new research suggests that they could also reveal key biographical information – such as someone’s gender and age.

A study, published in Nature Biomedical Engineering, investigated whether artificial intelligence technology could be used to determine risk factors for cardiovascular disease from a retinal scan.

The scientists reported that deep learning models were capable of predicting an individual’s age, gender, systolic blood pressure, smoking status and whether someone had suffered a past major cardiac event by analysing fundus images.

The models were trained using data from 284,335 patients and validated using two separate datasets of 12,026 and 999 patients.

The authors highlighted that the artificial intelligence used anatomical features, such as the optic disc and blood vessels, to calculate its predictions.