Artificial intelligence technology can now single out the most promising embryo during IVF and boost the chance of pregnancy. The AI tech is already in use across Europe, Asia, and South America, and could be in the US'very soon', according to the Tel Aviv-based firm that pioneered the tech in Israel. The software detects the most viable embryos by scoring them based on features that correlate to different outcomes, such as genetic abnormalities or implantation, that can't be seen with the human eye. Clinics using the algorithm have reported a 30 percent increase in IVF success rates. IVF, or in vitro fertilization, entails removing an egg from a woman's ovaries and fertilizing it with male sperm in a laboratory.

Fox News contributor Dr. Marc Siegel weighs in on how artificial intelligence can change the patient-doctor relationship on'America's Newsroom.' It's been shown to detect cancer, pinpoint cavities and answer medical questions -- and now, artificial intelligence may help fertility doctors select the ideal embryo for in-vitro fertilization (IVF). With one in every five U.S. adult married women unable to get pregnant after a year of trying, per the Centers for Disease Control and Prevention (CDC), many turn to IVF for help. The fertility treatment is responsible for between 1% and 2% of all births in the country. The process, however, is not guaranteed -- and it's expensive, averaging more than $12,000 per session, according to the American Society of Reproductive Medicine.

Sahil Gupta is a physician by training and co-founder/Chief Commercial Officer at Oma Robotics, leading operations and business strategy. Artificial intelligence is transforming how we practice medicine in a wide range of domains, including radiology, pathology, dermatology, surgery and infertility. AI algorithms are rapidly advancing to optimize processes such as image analysis, pattern recognition and data-based assessments, improving clinical workflows and the early detection and treatment of diseases. AI is still an emerging technology in healthcare, but it shows incredible potential to make care more affordable and accessible for all patients. As a physician and co-founder of a company using fertility technologies powered by AI and robotics, I see how AI innovations are opening up new possibilities and access for patients from diverse backgrounds.

Abstract. Artificial intelligence (AI) techniques are starting to be used in IVF, in particular for selecting which embryos to transfer to the woman. AI has the

One in four couples in developing countries is impacted by infertility. About 48.5 million couples experience infertility worldwide. Today, infertility is rapidly becoming an epidemic. In vitro fertilization (IVF) is a technique that helps people facing fertility problems have a baby. Despite IVF's potential, the outcomes are unpredictable. To make matters worse, access to fertility care is abysmal.

Time-lapse images are taken to allow embryologists to track how well an embryo is developing, but manual analysis of these images is time-consuming. AI tools have been developed that analyse these images to classify embryos as good or poor quality, but these tools do not work well with the poor quality of many time-lapse images. Time-lapse imaging, whereby regular images are taken of the embryo, is used to improve assessment by providing the embryologist with more information, however analysing this information is time consuming and often involves analysing multiple images of an embryo taken at the same time. To tackle this challenge researchers at Kaunas University of Technology decided to automate the fusion of time-lapse images taken of embryos, in order to create a better-quality image for analysis by embryologists. The resulting fused images were clearer than the individual images and the two embryologists who took part in the study found they were up to three times faster analysing the fused images than the separate images.

By Vanshika Sharma The dimensions of healthcare has widened with the adoption of modern thinking and the acceptance of medical innovation. Over the past few years, there has been an increasing utility and a growth of AI and digital technologies in reproductive medicine for new standardization, automation, and precision. With automatic annotation of embryo development, embryo grading, and embryo selection for implantation is evolving as one of the best uses of Artificial intelligence applications. The selection process of the best embryo from the larger cohort of the fertilized egg is majorly by the embryologist by grading the embryos. "The embryo selection process is on the morphology and the photography of that particular embryo. Now, these grading because of the manual intervention will change based on embryologist to the embryologist, lab to lab and, city to city. Thus, the standardizing and automizing the process using AI becomes very, very important," said, Nitiz Murdia, the co-founder and Director of Marketing & Embryology at Indira IVF Group while, explaining the grading of the embryos in acquiring the best suitable matches.

An Australian Femtech company with US headquarters in San Francisco announced new technology to help couples get pregnant via artificial intelligence-assisted in vitro fertilization (IVF). Life Whisperer is the fertility arm of Presagen, a global artificial intelligence company. The company, whose US headquarters is in San Francisco, announced in a press release new women's health technology applying artificial intelligence to the IVF embryo selection process. IVF clinics around the world can add an artificial intelligence platform to help doctors select the healthiest embryos with the best chance of success. Embryo selection is an important part of the IVF process, where the healthiest embryos are chosen for implantation.

People in the U.S. are waiting longer to have babies. And more and more families are seeking help with getting pregnant. In fact, according to Penn Medicine, one million babies have been born between 1987 and 2015 using in vitro fertilization or other assisted technology. But IVF success rates remain relatively low. There is a 21.3% chance of full-term normal birth weight and singleton live birth per assisted reproductive technology cycle, Penn Medicine states.

AI has the potential to revolutionize many areas of healthcare. Radiology, dermatology, and ophthalmology are some of the areas most likely to be impacted in the near future, and they have received significant attention from the broader research community. But AI techniques are now also starting to be used in in vitro fertilization (IVF), in particular for selecting which embryos to transfer to the woman. The contribution of AI to IVF is potentially significant, but must be done carefully and transparently, as the ethical issues are significant, in part because this field involves creating new people. We first give a brief introduction to IVF and review the use of AI for embryo selection. We discuss concerns with the interpretation of the reported results from scientific and practical perspectives. We then consider the broader ethical issues involved. We discuss in detail the problems that result from the use of black-box methods in this context and advocate strongly for the use of interpretable models. Importantly, there have been no published trials of clinical effectiveness, a problem in both the AI and IVF communities, and we therefore argue that clinical implementation at this point would be premature. Finally, we discuss ways for the broader AI community to become involved to ensure scientifically sound and ethically responsible development of AI in IVF.