Impact of Gold-Standard Label Errors on Evaluating Performance of Deep Learning Models in Diabetic Retinopathy Screening: Nationwide Real-World Validation Study

• Main Authors: Yueye Wang (Author), Xiaotong Han (Author), Cong Li (Author), Lixia Luo (Author), Qiuxia Yin (Author), Jian Zhang (Author), Guankai Peng (Author), Danli Shi (Author), Mingguang He (Author)
• Format: Book
• Published: JMIR Publications, 2024-08-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundFor medical artificial intelligence (AI) training and validation, human expert labels are considered the gold standard that represents the correct answers or desired outputs for a given data set. These labels serve as a reference or benchmark against which the model's predictions are...