Emerging role of artificial intelligence (AI) and Machine Learning (ML) in the in vitro fertilisation (IVF) clinic. AI represents an opportunity for technological advancement to improve IVF success. AI may assist the clinician in developing an optimal patient-specific treatment regimen to improve IVF success. Technological advancements in infertility treatment has led to many unprecedented achievements in the recent past. Scientific breakthroughs and newer related discoveries, especially in Assisted Reproductive Technology (ART) treatments, have massively augmented its success rate. Customised treatment backed by technical know-how is key to its success, bolstering the confidence of couples embracing these procedures at larger scale, and realising their dreams of parenthood.
By deploying the latest technology at each stage of treatment and thus, becoming a process-driven organisation, Indira IVF has been able to achieve success stories much higher than industry standards.
To bring standardisation of process and thus ensuring seamless success rate across our centres, deployment of AI & ML technologies have secured us paramount result. Indira IVF is using this technology to enhance the chances of success through more precise decision-making and getting accurate information at different stages of treatment. We have atomised grading of embryos and its selection through AI; we also analyse the implantation potential through it.
This data management has helped the organisation to strengthen the system and train embryologists. We are able to analyse the performance of each embryologist. Research to improve AI & ML systems is a continuous process and we are constantly working towards increasing its accuracy. With more unique cases coming our way, we are able to modify the software, aiding in its further “learning”.
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