This review explores automation and AI to improve visual outcomes in refractive surgery, suggesting advancements in clinical practice.
Background: Refractive surgery has evolved into a highly technology-driven discipline in which automation, precision engineering, and artificial intelligence converge to optimize visual outcomes. Robotic principles – defined by computer-guided motion control, closed-loop feedback, and image-integrated [for full text, please go to the a.m. URL]
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Kazim Hilmi Or (2026) studied this question.
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