Abstract

Artificial Intelligence(AI)   is a expanding field  to optimize  results in medicine with special emphasis in radiology with optimization of images.Similarly in reproductive medicine it has taken over in the last few years .Ideally embryo assessment  as well as     selection decides the ultimate fate of the in vitro fertilization (IVF) event.The objective is to pick the best out of the large cohort of the oocytes that managed to get fertilized.Maximum of which would work out to be nonviable secondary  to aberrant  generation or chromosomal aberrations .It has usually been recognized that despite embryo selection depending on the compounded results of morphology,morphokinetics characteristics, time lapse microscopic(TLM) photography,or embryo biopsy  with preimplantation genetic testing  for aneuploidy( PGT-A),implantation rates in the human has not been easy to  anticipate.Hence in our efforts to escalate embryo assessment  as well as   selection along with escalation of live birth rate(LBR) would need innovative methods