Birth weight prediction using artificial intelligence-based placental assessment from macroscopic photo: a retrospective study.

Journal: Placenta
Published Date:

Abstract

BACKGROUND: This study aimed to predict newborn birth weight through multifactorial analysis of macroscopic placental images using artificial intelligence (AI).

Authors

  • Yoo Jin Lee
    Department of Internal Medicine.
  • Mi-Young Lee
    Department of Physical Therapy, Sahmyook University, Seoul 01795, Republic of Korea.
  • Jin Hoon Chung
    Department of Obstetrics and Gynecology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea.
  • Hye-Sung Won
    Department of Obstetrics and Gynecology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
  • Bumwoo Park
    Health Innovation Big Data Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea.