ReviewFrontiers in cell and developmental biology2026
Artificial intelligence in refractive surgery: progress, challenges, and future directions.
Review in Frontiers in cell and developmental biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
6 authors.
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Abstract
The rapid evolution of artificial intelligence (AI) has catalyzed significant advancements in ophthalmology. As refractive surgery necessitates increasing levels of precision and personalization, AI offers pivotal solutions for optimizing clinical outcomes. This review systematically summarizes recent progress in applying machine learning and deep learning models to corneal refractive surgery and implantable collamer lens (ICL) procedures. Specifically, we examine AI's utility in preoperative candidate screening, personalized surgical planning, and the prediction of postoperative complications. Although AI demonstrates broad prospects for enhancing surgical decision-making, several challenges remain, including data standardization, algorithm interpretability, cross-device compatibility, and ethical considerations. Overall, AI-driven decision-support systems are accelerating the transition of refractive surgery from standardized protocols to data-driven, individualized management, with the potential to enable more intelligent, automated, and precise surgical correction in ophthalmology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.