Evaluation of artificial intelligence using time-lapse images of IVF embryos to predict live birth.

Abstract

Authors

• Yuki Sawada
  Department of Obstetrics and Gynecology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
• Takeshi Sato
  Department of Obstetrics and Gynecology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan. Electronic address: og.sato@med.nagoya-cu.ac.jp.
• Masashi Nagaya
  Intelligent Information Media Lab, Graduate School of Engineering, Toyota Technological Institute, Nagoya, Japan.
• Chieko Saito
  Department of Obstetrics and Gynecology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
• Hiroyuki Yoshihara
  Department of Obstetrics and Gynecology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
• Chihiro Banno
  Department of Obstetrics and Gynecology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
• Yosuke Matsumoto
  Department of Obstetrics and Gynecology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
• Yukino Matsuda
  The Sawada Women(')s Clinic, Nagoya, Japan.
• Kaori Yoshikai
  The Sawada Women(')s Clinic, Nagoya, Japan.
• Tomio Sawada
  The Sawada Women(')s Clinic, Nagoya, Japan.
• Norimichi Ukita
  Toyota Technological Institute, Nagoya 468-8511, Japan.
• Mayumi Sugiura-Ogasawara
  Department of Obstetrics and Gynecology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.

Keywords

External Resources