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通过人工智能提高眼科诊断和治疗
David B Olawade1,2,3,4, Kusal Weerasinghe2, Mathugamage Don Dasun Eranga Mathugamage5
1Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London E16 2RD, UK.
Medicina (Kaunas, Lithuania)
|March 27, 2025
概括
人工智能 (AI) 正在彻底改变眼科,改善糖尿病视网膜病变等眼睛疾病的诊断和治疗. 人工智能提高了外科准确性,并扩大了对护理的访问,尽管数据隐私和偏见需要谨慎管理.
科学领域:
- 眼科医生 眼科 眼科
- 医疗人工智能 医疗人工智能
- 数字健康数字健康
背景情况:
- 人工智能 (AI) 的整合正在改变眼科.
- 机器学习 (ML) 和深度学习 (DL) 算法对眼睛疾病具有很高的诊断准确性.
- 人工智能为个性化治疗和改善服务提供提供了潜力.
研究的目的:
- 为眼科当前和未来的人工智能应用提供全面的概述.
- 突出AI在诊断,治疗个性化和外科手术改进中的作用.
- 讨论人工智能在眼科护理中的挑战和未来方向.
主要方法:
- 对眼科当前人工智能应用的审查.
- 分析AI在诊断糖尿病视网膜病变,与年龄相关的黄斑变性和青光眼等疾病方面的表现.
- 检查AI在个性化治疗计划和外科手术程序中的使用情况.
主要成果:
- 对于主要的眼病,人工智能可以达到或超过人类专家的诊断精度.
- 人工智能促进了个性化治疗计划,优化了结果并降低了成本.
- 人工智能驱动的工具提高了手术精度,远视眼科服务扩大了对护理的访问.
结论:
- 人工智能显著提高了眼科的诊断准确性,治疗个性化和手术精度.
- 解决数据隐私,安全和算法偏见对于道德AI集成至关重要.
- 未来的研究应该集中在多式联网人工智能模型和全球部署的协作努力上,特别是在服务不足的地区.
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