The Evolution of AI in Cataract Surgery Techniques
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By: Dipu Bose, Head, Medical Technology, ZEISS India & Neighboring Markets
Cataract surgery is one of the most frequently performed surgical procedures worldwide, with an estimated 28 – 32 million cataract operations carried out annually and growing year-on-year as populations age and life expectancy increases. (Lancet Global Health, 2021; WHO Vision Report, 2019.) At its core, cataract surgery is about restoring vision with precision: organizing and customizing care based on each patient’s unique ocular anatomy, refractive status, and lifestyle needs. Today, the integration of artificial intelligence (AI) and machine learning (ML) is transforming ophthalmic microsurgery particularly in areas such as intraocular lens (IOL) selection, cataract grading, and patient counseling. By leveraging large volumes of data, these technologies enable more accurate outcome predictions, personalized treatment planning, and clearer patient communication ultimately enhance refractive precision and overall patient satisfaction.
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