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相关实验视频

Updated: Jun 28, 2025

Author Spotlight: Unraveling the Molecular Mechanisms in PCO and Fibrosis Following Cataract Surgery
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人工智能在白内障手术中的应用:一个系统性审查

Simon Müller1, Mohit Jain2, Bhuvan Sachdeva2,3

  • 1University Hospital Bonn, Department of Ophthalmology, Bonn, Germany.

Translational vision science & technology
|April 15, 2024
PubMed
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Utility of an LLM-powered experts-in-the-loop chatbot for pre- and post-operative care of cataract surgery patients.

European journal of ophthalmology·2025
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Phase recognition in manual Small-Incision cataract surgery with MS-TCN + + on the novel SICS-105 dataset.

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Histologic Cell Shape Descriptors for the Retinal Pigment Epithelium in Age-Related Macular Degeneration: A Comparison to Unaffected Eyes.

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The Feasibility of Using Ultra-Widefield Retinal Imaging to Identify Ocular Pathologies amongst Those with Systemic Medical Disease Attending a Tertiary Healthcare Facility at a University Hospital.

Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift fur Augenheilkunde·2022

人工智能 (AI) 算法在分析白内障手术视频方面表现有前途,在仪器跟踪和相位识别方面表现强. 然而,由于数据限制和缺乏标准化指标,评估外科技能和并发症仍然存在挑战.

科学领域:

  • 眼科医生 眼科 眼科
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 使用人工智能进行白内障手术视频分析是一个新兴领域.
  • 评估人工智能算法的可靠性和当前应用对于临床整合至关重要.

结论:

  • 基于人工智能的白内障手术视频分析显示了改善外科训练的巨大潜力.
  • 局限性包括缺乏公共数据集,不一致的指标报告和罕见的外部验证.
  • 需要进一步的标准化和数据共享来推动AI在这个领域的发展.

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