AI in Assisted Fertility

AI assists the doctors to select the ideal embryo in IVF. AI is being used in fertility treatment. AIVF, a reproductive technology company based in Tel Aviv (Israel) has developed an AI-assisted software (called EMA) that processes vast amount of data to facilitate embryo selection process.

An Orissa-based startup Santaan offers services using AI to select embryos for transfer to the wombs. This selection is crucial for the success of and IVF cycle. AI algorithms analyse the images of embryos to predict which have the highest probability of leading to a successful pregnancy. AI prevents unnecessary transfer of the embryos to the uterus. It also minimises the risk of multiple pregnancies, say the birth of twins, triplets, quadruplets and so on.

Indira IVF clinic, Delhi too uses AI to improve embryo selection.

Machine learning (ML) is used for select oocytes, female germ cells (involved in reproduction) and monitor their behaviour during intracytoplasmic sperm injection (ICSI). It is an assisted reproductive technology. (ART).

AI is used in analysing embryo development. It is used in semen analysis and DNA integrity. Embryologists can identify sperm cells of males who suffer from infertility.

Cryopreservation technique is assisted by AI to maintain and preserve cells tissues and other biological samples. AI analyzes datasets of frozen embryo outcomes. The patterns and factors are identified. These influence the viability of thawed embryos. AI can be used to develop protocols for cryopreservation.

AI can be used to asses the suitablility of reproductive organs, uterus and ovaries, and identify anomalies.

AI in ART is useful, but it requires precise data. AI makes predictions. These have to be validated by comparing them with clinical outcomes. Thus we can refine the algorithms.

There are ethical issues. ART processes involve highly sensitive data ( personal information). There should be stringent data protection. There should not be unauthorized access.

AI-driven ART processes are expensive. IIT, Hyderabad is working on an indigenous and affordable solution in this field.

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