Ophthalmic Medical Technicians

Other tasks see partial automation. New digital tools help measure prescription strengths: for example, smartphone autorefractors have been shown to give accurate vision measurements ^[1], hinting that lens power testing (the “lensometer” task) could become more automated. In surgery, researchers have built robot systems to assist eye operations.

In one experiment, a robot paired with surgical tools simulated every step of cataract surgery ^[1], and another fully robotic system (IRISS) even completed a full lens-replacement procedure in the lab ^[1]. These ideas are promising, but they are still mostly in research stages and not in regular use. Even specialized vision tests like eye-movement and depth-perception exams are being explored with AI.

For instance, a smartphone app using AI could classify a patient’s eye gaze positions to spot strabismus ^[1]. But most depth-perception (“binocular disparity”) or motion tests still rely on the technician’s skills.

Overall, AI is augmenting many routine tasks—like taking measurements or making calls—but complex parts (cleaning delicate tools, making judgment calls in surgery, or comforting a patient) remain very human. In short, computers and robots can handle repetitive steps (such as automated cleaning or basic follow-up calls) ^{[2] [1]}, but the technician’s expertise, personal touch, and oversight are still needed for the hardest parts.

On the other hand, really expensive or risky AI is moving more slowly. Surgical-robot systems and sophisticated vision devices cost millions and require training and approval. Although prototypes have done full surgeries in labs ^[1], most clinics are cautious.

They must be sure the technology is safe and effective – medical rules and patient trust are important. For instance, an AI must get special FDA approval before being used to treat patients. Plus, patients often prefer a human touch for delicate care.

These factors – high cost, strict regulation, and social concerns – slow adoption of AI in sensitive tasks ^{[1] [2]}.

In sum, AI and robots are already easing some steps (like automated follow-up calls or machine-controlled disinfecting ^{[1] [2]}), because those bring quick benefits. Other tasks need more time and evidence before using AI. Many human skills (judgment, empathy, hands-on care) can’t be automated, so even as technologies spread, ophthalmic technicians and assistants will still play an important role managing complicated cases and caring for patients.

This means, while the job may change, the need for skilled, caring people remains.