Title: Medical treatment in Uterine Adenomyosis management –A systematic Review

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.Currently AI-dependent techniques have come out having standardized,objective along with great effectiveness in embryo assessment . Thus a systematic review was carried out utilizing the search engine pubmed,google scholar ;web of science ;embase; Cochrane review library from 2000 to 2020 till date.The MeSH terms utilized were AI;ART;IVF;ICSI;PGT;TLM;BL(blastocyst) morphokinetics;morphology;annotation studies;sperm parameters ;ploidy evaluation by AI;utilization of images static vs video for generation of standards ;embryo grading;infertility evaluation . We found a total of 316 articles out of which we selected 56 articles for this review .No meta analysis was carried out. Further AI can be utilized for other aspects of IVF like gonadotropin stimulation individualization protocols as well as assessment of Reproductive potential.Moreover AI possesses capacity to evaluate Big Data.Moreover our main objective would be the application of AI tools for evaluation of embryological,genetic as well as clinical data to give patients specific treatment.

Biography:

Dr Kulvinder Kaur is the scientific director of DR Kulvinder Kaur Centre For Human Reproduction, Jalandhar, Punjab ,India, where she manages the complicated cases of infertility .She graduated from LHMC Delhi in 1980 topping in medicine in all 3 medical colleges thereby getting the DR Devi Chand Gold medal from the late PM Smt Indira Gandhi&also topped in all the MBBS subjects prior to that eg anatomy,pathology,biochem etc making her basicssound &later she managed the endocrine clinic in PGI Chandigarh during her MD days Following that she reported the 40th world case hydrometrocolpos working in Saudi Arabia &has been working in the field of neuroendocrinology of obesity. GnRH control along with role of kisspeptins,prokineticins in human reproduction,AIDS &Cancer –during this period she managed to successfully treat the first case of nongestational choriocarcinoma of uterine body in a young girl medically thereby preserving her fertility-the first case in world literature of its kind.