干眼疾病中的人工智能:叙述性审查
Praveena P Nair1,2, Manjiri Keskar2, Pramod T Borghare3
1Ophthalmology, Mandsaur Institute of Ayurved Education and Research, Bhunyakhedi, IND.
Cureus
|October 25, 2024
概括
人工智能 (AI) 为诊断和管理干眼疾病 (DED) 提供了有希望的解决方案. 需要进一步的研究来克服局限性,并将AI完全整合到临床实践中,以改善患者的治疗结果.
科学领域:
- 眼科医生 眼科 眼科
- 医疗信息学 医疗信息学
背景情况:
- 干眼病 (DED) 是一种流行,多因素的眼部疾病,具有复杂的诊断和管理.
- 不同的症状和潜在原因在有效治疗DED方面提出了临床挑战.
研究的目的:
- 探索人工智能 (AI) 在干眼疾病的诊断,治疗和管理中的应用.
- 审查人工智能驱动的工具及其提高诊断准确性和个性化患者护理的潜力.
主要方法:
- 关于干眼疾病中人工智能的当前文献的叙事综述.
- 检查人工智能驱动的工具,包括机器学习算法和成像技术.
主要成果:
- 人工智能在提高诊断准确度和定制DED治疗策略方面显示出潜力.
- 人工智能工具可以分析复杂的数据,用于模式识别和DED管理中的预测建模.
结论:
- 人工智能显示出对推进干眼病患者护理的重大承诺.
- 解决临床验证,数据隐私和伦理考虑等局限性对于AI集成至关重要.
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