人工智能在青光眼护理中的应用:一篇更新的综述
Jo-Hsuan Wu1,2, Shan Lin3, Sasan Moghimi1
1Shiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California.
Taiwan journal of ophthalmology
|October 21, 2024
概括
人工智能 (AI) 在改善青光眼管理方面显示出很大的前景. 本综述探讨了AI在风险预测,诊断和对这种不可逆转的视力状况的进展监测中的应用.
科学领域:
- 眼科医生 眼科 眼科
- 医疗人工智能 医疗人工智能
- 计算医学是一种计算医学.
背景情况:
- 玻璃眼是不可逆转的视力丧失的主要原因.
- 绿眼病的临床管理面临着挑战,因为它的潜伏性和慢性性质.
- 人工智能 (AI) 提供了潜在的解决方案,以提高青光眼的护理.
研究的目的:
- 审查近期关于人工智能在绿眼病管理中的应用的文献.
- 突出AI在格洛科马护理各个方面所扮演的角色.
- 讨论人工智能在解决绿眼病的临床挑战方面的潜力.
主要方法:
- 对近期研究的文献综述 关于青光眼中人工智能.
- 通过对玻璃眼管理不同阶段的人工智能应用进行分析.
- 人工智能应用的分类,包括风险预测,诊断和进展检测.
主要成果:
- 人工智能在眼风险预测方面展示了实用性.
- 人工智能有助于检测和诊断青光眼.
- 人工智能有助于视野估计,模式分析和进展监测.
结论:
- 人工智能是改善青光眼管理的宝贵工具.
- 进一步研究和整合人工智能可以提高早期检测和治疗.
- 人工智能有可能对眼科和青光眼病护理的未来产生重大影响.
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