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iMIGS:一个创新的基于人工智能的预测系统,用于选择最佳的患者特异性玻璃眼治疗方法

Uvais Qidwai¹, Umair Qidwai², Thurka Sivapalan³

¹Department of Computer Science & Engineering, Qatar University, Doha, Qatar.

|May 31, 2023

概括

使用自适应神经模糊推理系统 (ANFIS) 的基于人工智能的系统准确地预测了个体患者最好的最小侵入性玻璃眼手术 (MIGS). 这种AI工具有助于眼科医生选择最佳的治疗方法,改善患者的治疗结果.

科学领域:

眼科医生眼科眼科
医疗保健中的人工智能
医疗决策支持系统医疗决策支持系统

背景情况:

玻璃眼瘤是导致失明的主要原因,它涉及由于眼内压力升高 (IOP) 的视神经损伤.
最少侵入性玻璃眼外科手术 (MIGS) 提供了改善的水性幽默排水,但根据患者特定的因素有不同的疗效.
选择最佳的MIGS程序需要平衡眼控制与患者的生活质量.

研究的目的:

开发基于人工智能的治疗建议预测系统,使用自适应神经模糊推理系统 (ANFIS).
协助眼科医生根据基线临床参数推最合适的MIGS手术.
为了个性化玻璃眼治疗策略,以改善患者护理.

主要方法:

一个ANFIS模型被开发为治疗建议预测系统.
该系统使用了372名患者的回顾性数据集,这些患者接受了四种不同的MIGS手术 (iStent,iStent + ICE2,PMS,XEN-45).
输入临床参数包括年龄,视觉敏度,内压力和视野.

主要成果:

在预测最佳MIGS治疗时,ANFIS系统的整体准确率达到了91%.
高诊断性能被证明具有80%的灵敏度和90%的特异性.
该系统成功地根据患者数据建议了适当的MIGS干预措施.

结论:

开发的ANFIS系统显示出作为格洛科马管理中的决策支持工具的巨大潜力.
人工智能驱动的预测可以提高MIGS程序的选择,优化治疗疗效和患者的生活质量.
这种方法为眼科个性化医疗提供了一个有希望的途径.

关键词:

适应性神经模糊分类.这就是MIGS.最少侵入性的玻璃眼外科手术.个性化医疗是个性化的医疗.iMIGS:基于ANFIS的预测系统

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