Author Interviews, Brigham & Women's - Harvard, Fertility, Technology / 16.09.2020
In-Vitro Fertilization: AI Improves Ability to Pick Embryos With Best Chance of Success
MedicalResearch.com Interview with:
Hadi Shafiee, PhD
Assistant Professor, Harvard Medical School
Brigham and Women's Hospital
Department of Medicine
MedicalResearch.com: What is the background for this study? What are some of the characteristics that AI uses to identify blastocysts witha better chance of successful implantation?
Response: In-vitro fertilization (IVF), while a solution to many infertile couples is still extremely inefficient with a success rate of nearly 30% and is both mentally, physically, and economically taxing to patients. The IVF process involves the insemination of eggs and the culture of embryos externally in a fertility lab before transferring the developed embryo to the mother.
A major challenge in the field is deciding on the embryos that need to be transferred during IVF, such that chances of a healthy birth are maximal and any complications for both mother and child are minimal. Currently, the tools available to embryologists when making such are extremely limited and expensive, and thus, most embryologists are required to make these life-altering decisions using only their observational skills and expertise. In such scenarios, their decision-making process is extremely subjective and tends to be variable.
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