Orthoptists

In eye care, AI is mainly helping with tests and screening, not doing everything on its own. For example, researchers have built apps that look at photos or videos of eyes and spot problems like crossed eyes (strabismus) with over 90% accuracy ^{[1] [1]}. Some mobile tools can flag amblyopia risk factors from a child’s face picture.

Clinics now use electronic vision charts and auto-refractors that do routine measurements. Chatbots and AI guides can answer simple patient questions and explain basic eye care, which studies found to be pretty accurate ^{[2] [1]}. Hospitals also use AI scribes that listen to doctor-patient talks and help write reports or referral letters ^[3].

Whether AI spreads fast or slow depends on many factors. Some tools already exist: for example, the FDA has approved AI software to screen for diabetic eye disease using images ^[1]. If hospitals see that AI saves time or catches problems early, they may invest even if it costs more front.

On the other hand, health systems worry about data privacy and making sure AI is safe. Doctors need to trust the results, so they usually require strong proof before using new tech ^{[1] [1]}. Training staff to use AI software also takes time and money.