相关实验视频
Updated: Aug 3, 2026

09:17
Using Retinal Imaging to Study Dementia
Published on: November 6, 2017
22.2K
在视网膜年龄预测机器学习模型中对人口偏差的评估
Christopher Nielsen1,2, Emma A M Stanley1,2,3,4, Matthias Wilms5
1Department of Radiology, University of Calgary, Calgary, AB, Canada.
Frontiers in artificial intelligence
|October 27, 2025
概括
视网膜年龄预测模型可以显示性别和种族的偏见. 结合视网膜成像数据 (CFP + OCT) 减少了这些偏差,提高了准确性,突出了需要仔细验证模型的需要.
科学领域:
- 眼科医生 眼科 眼科
- 人工智能的人工智能
- 生物标志物 生物标志物
背景情况:
- 视网膜年龄差距,预测年龄和时间年龄之间的差异,是一个有前途的生物标志物.
- 机器学习 (ML) 模型用于视网膜年龄预测,但可能含有偏差.
- 在ML模型中的偏见可以加剧某些人口群体的健康差异.
研究的目的:
- 在视网膜年龄预测模型中评估人口偏见 (性别,种族).
- 为了比较不同视网膜成像模式 (CFP,OCT,组合) 的准确性,以进行偏差评估.
- 为了确定结合成像数据是否可以减轻ML模型中的人口偏差.
主要方法:
- 从9,668名英国生物库参与者的视网膜成像数据的回顾性分析.
- 微调RETFound基础模型用于使用CFP,OCT和CFP+OCT数据的视网膜年龄预测.
- 评估偏见通过比较平均绝对误差 (MAE) 和视网膜年龄差距跨性别和种族群体.
主要成果:
- 综合的CFP+OCT模型显示了最低的MAE (3.01年),表现优于CFP-only (3.40年) 和OCT-only (4.37年) 模型.
- 在CFP模型中发现了显著的性别偏见,在OCT模型中发现了显著的种族偏见.
- 在CFP+OCT组合模型中没有观察到任何显著的性别或种族偏见.
结论:
- 视网膜年龄预测模型可能会表现出受成像方式影响的人口偏差.
- 结合CFP和OCT数据有效减少偏差,提高视网膜年龄预测的准确性.
- 全面的偏见评估和验证对于公平的AI在眼科护理中的临床实施至关重要.
相关概念视频
Regression Toward the Mean
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Confidence Interval for Estimating Population Mean
A point estimate of the population mean is obtained from a single sample. Such a point estimate does not represent a population well because it needs to account for variability in the population. Single point estimate can also be biased despite the sample being selected randomly. Thus, a point estimate is often unreliable. A confidence interval is needed to reduce this unreliability.
A confidence interval for the mean is a range of values that provides an estimate of the population mean. As the...
A confidence interval for the mean is a range of values that provides an estimate of the population mean. As the...
Estimating Population Standard Deviation
When the population standard deviation is unknown and the sample size is large, the sample standard deviation s is commonly used as a point estimate of σ. However, it can sometimes under or overestimate the population standard deviation. To overcome this drawback, confidence intervals are determined to estimate population parameters and eliminate any calculation bias accurately. However, this only applies to random samples from normally distributed populations. Knowing the sample mean and...

