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The worlds firstin-vitro fertilization(IVF) baby was born in the United Kingdom in 1978. The success of the artificially made baby gave hopes to the human community on their fertilization and parenthood. After four decades of intense research and trials into the field, doctors now useartificial intelligenceto help parents get babies successfully. Scientists are working onembryoanalysis with computeralgorithmsto help build families.

More than 80 million couples are affected by infertility across the globe. Around one in seven couples have trouble conceiving, which means there is a high demand for solutions such asin-vitro fertilization. Creating anembryois a process where the ovum from the female ovary and sperm from the male are fused outside the body in a laboratory. Theembryois then placed in the females ovary for the development ofin-vitro fertilization. It has been reported that more than 5 million babies have been born from thein-vitro fertilizationmethod. Unfortunately, not all IVF treatments turn out to be successful. Couples who need IVF to conceive a child are well aware that even the most advanced assisted reproductive technology doesnt always guarantee a baby. Therefore, doctors are seeking the help ofartificial intelligenceto pick theembryothat is most likely to succeed. In a normal in-vitro cycle, around 70% of the embryos are abnormal, resulting in a miscarriage or a baby with a lifelong genetic disorder. Butartificial intelligencecan change the routine by detecting theembryothat is more likely to grow without any problem.

Selecting the successful embryo is the toughest process inin-vitro fertilization. Currently, the tools available for making this decision are limited, highly subjective, time-consuming, and often extremely expensive. Therefore,embryologists use their experience, observation skills, and gut feeling to choose theembryothat is most likely to be successful. To change the routine and makein-vitro fertilizationprocess more accurate, scientists are seeking help fromartificial intelligence. The technology assists embryologists to make a consistent choice.Artificial intelligencesystem could learn how embryos develop over time and then uses the information to select the best embryos. The trained AIalgorithmcan find the successfulembryojust by looking at its image.

As more and more companies and medical institutions are coming forward to try their hand on thisartificial intelligenceespoused in IVF, we take you through some of the recent significant developments in the field.

Embryonics use AI to identify the most successful embryo: Embryonics, an Israeli AI fertility company has usedartificial intelligenceto increase the fertility rate and avoid the odds of successful implantation of theembryo. At the company, a group ofalgorithmspecialists, data scientists, and embryologists are developing analgorithmthat could predict theembryoimplanting probability. They have trained thealgorithmto analyze IVF time-lapsing imaging of developing embryos. The team is using medical imaging withdeep learningto curate datasets from tens of thousands of IVF cycles, including time-lapse videos of embryos. Embryonics is planning to streamline this fertility process by conducting clinical trials at several sites in the United States after obtaining the US Food and Drug Administrations approval.

Austin Fertility Center seeks AIs help for embryo analysis: Austin Fertility Center in the United States is also usingartificial intelligenceto non-invasively analyze embryos and determine whether they are euploid or aneuploid. The center has successfully applied AI inembryoselection with the help ofdeep learningthrough computer vision. They use 2D statistic images of embryos created through past IVF cycles at Ovation Fertility IVF laboratories to train thealgorithm. Austin Fertility Center also said that the method has shown 32% improvement in the prediction of successful implantation.

VIOLET, a tool that beats human analysis in embryo selection: Scientists from CARE Fertility, one of the leading independent providers of fertility treatment in the United Kingdom has joined hands with Canadian med-tech partner Future Fertility onembryoanalysis. The duo has researched to know howartificial intelligencecan be used as a more accurate tool to predict human egg fertilization andembryodevelopment. Recently, they also launched VIOLET, an AIalgorithmthat has outperformed human analysis, predicting human egg fertilization and blastocyst embryo development with 77% and 62% accuracy respectively.

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Why Artificial Intelligence is the Magic Tool in Fertility Treatment? - Analytics Insight