Evaluating efficacy of 0.125% atropine using a myopia progression machine learning model.

Journal: Japanese journal of ophthalmology
Published Date: May 15, 2025

Abstract

PURPOSE: To investigate the usefulness of a machine learning (ML) model that can predict the natural course of childhood myopia in evaluation of the inhibitory effects of 0.125% atropine on the progression of childhood myopia.

Authors

  • Chang Yoon Han
    Department of Ophthalmology, Kim's Eye Hospital, #136 Yeongsin-ro, Yeongdeungpo-gu, Seoul, 07301, Republic of Korea.
  • Sa Ra Kim
    Department of Ophthalmology, Kim's Eye Hospital, #136 Yeongsin-ro, Yeongdeungpo-gu, Seoul, 07301, Republic of Korea.
  • Dae Hee Kim
    Department of Ophthalmology, Kim's Eye Hospital, #136 Yeongsin-ro, Yeongdeungpo-gu, Seoul, 07301, Republic of Korea. skdh17@hanmail.net.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals