眼部病理学和遗传学:人工智能 (AI) 在前段疾病中的变革性作用
Priyanka Venkatapathappa1, Ayesha Sultana2, Vidhya K S3
1University Health Services, St. George's University School of Medicine, St. George's, GRD.
Cureus
|March 4, 2024
概括
人工智能 (AI) 增强了对遗传前段疾病的眼科诊断,如角膜发育不良,绿内障和先天性白内障. 人工智能在检测,分类和个性化治疗策略方面提供了更高的准确性,从而彻底改变了患者护理.
科学领域:
- 眼科医生 眼科 眼科
- 医疗人工智能 医疗人工智能
- 遗传学 是一个遗传学.
背景情况:
- 带有遗传基础的前段疾病,包括角膜发育不良,青光眼和先天性白内障,存在诊断挑战.
- 人工智能 (AI) 在数据分析和与眼科疾病相关的模式识别方面提供了先进的能力.
研究的目的:
- 审查人工智能在诊断和管理眼科遗传前段疾病中的关键作用.
- 要突出人工智能的进步,包括ChatGPT-4.0,以及它们对眼科诊断的影响.
主要方法:
- 这篇叙事综述综合了当前关于眼科人工智能应用的文献.
- 专注于人工智能在识别和分类角膜发育不良,诊断青光眼和评估先天性白内障方面的实用性.
主要成果:
- 人工智能驱动的工具在诊断角膜疾病和分类角膜变方面表现出高准确度.
- 人工智能算法显著提高了青光眼的诊断,进展预测和诊断效率.
- 机器学习模型显示出对先天性白内障的早期识别和风险评估的特殊歧视.
结论:
- 人工智能代表了眼科护理的范式转变,使得遗传前段疾病的早期检测和个性化治疗成为可能.
- 人工智能整合有望改善患者的治疗结果,并在眼科领域提供更有效的医疗保健.
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