白内障手术
老花眼
验光服务
医学
人工晶状体
镜头(地质)
眼科
选择(遗传算法)
复杂度
外科
计算机科学
人工智能
光学
社会科学
物理
社会学
作者
Susana Marcos,Eduardo Martinez-Enriquez,Maria Vinas,Alberto de Castro,Carlos Dorronsoro,Seung Pil Bang,Geunyoung Yoon,Pablo Artal
标识
DOI:10.1146/annurev-bioeng-082420-035827
摘要
As the human eye ages, the crystalline lens stiffens (presbyopia) and opacifies (cataract), requiring its replacement with an artificial lens [intraocular lens (IOL)]. Cataract surgery is the most frequently performed surgical procedure in the world. The increase in IOL designs has not been paralleled in practice by a sophistication in IOL selection methods, which rely on limited anatomical measurements of the eye and the surgeon's interpretation of the patient's needs and expectations. We propose that the future of IOL selection will be guided by 3D quantitative imaging of the crystalline lens to map lens opacities, anticipate IOL position, and develop fully customized eye models for ray-tracing-based IOL selection. Conversely, visual simulators (in which IOL designs are programmed in active elements) allow patients to experience prospective vision before surgery and to make more informed decisions about which IOL to choose. Quantitative imaging and optical and visual simulations of postsurgery outcomes will allow optimal treatments to be selected for a patient undergoing modern cataract surgery.
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