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相关实验视频

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Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders
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使用人工智能估计看似年龄:量化白造形术的影响.

Kendall Goodyear1, Persiana S Saffari2, Mahtash Esfandiari3

  • 1Division of Orbital and Ophthalmic Plastic Surgery, Jules Stein Eye Institute, University of California, Los Angeles, CA, United States.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS
|August 5, 2023
PubMed
概括

血小管整形显著恢复了外表,使患者看起来更年轻. 一个人工智能模型量化了这一效应,显示手术后平均年龄减少约两年.

关键词:
人工智能的人工智能是人工智能.蓝牙整形手术 (Blepharoplasty) 是一个整形手术.深度学习是一种深度学习.复兴 复兴 复兴 复兴

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科学领域:

  • 眼科医生 眼科 眼科
  • 整形外科 整形外科 整形外科
  • 人工智能的人工智能

背景情况:

  • 膜整形术是一种常见的整形手术,用于改善眼的美学.
  • 客观地量化白造术的主观再生效应是具有挑战性的.

研究的目的:

  • 用基于深度学习的人工智能模型量化白造形术的青春效应.
  • 评估人工智能模型从面部照片中预测明显年龄的准确性.

主要方法:

  • 在47394张面部图像上训练了一种人工智能模型,以预测明显的年龄.
  • 利用了对103名经历了白造形手术的患者的回顾性图表审查.
  • 使用人工智能模型分析了手术前和手术后的照片,以确定年龄变化.

主要成果:

  • 人工智能模型在验证集上实现了75%的准确性,平均绝对误差为1.38年.
  • 整体而言,预计白喉整形患者在手术前年轻0.74岁,手术后年轻2.52岁.
  • 在特定小组中观察到显著的年龄降低,包括接受下部白造形的女性和接受四边白造形的男性.

结论:

  • 开发的深度学习算法量化了白喉整形术的青春效应.
  • 平均而言,白造形术提供了大约两年的青春期效果.