Artificial intelligence is not a recent phenomenon in the research field of assisted reproductive technology (ART). It was implemented with the development of an algorithm whose goal was to predict the outcome of the IVF.
Fremont, CA: Artificial Intelligence (AI) is the technology used to make computers do tasks that would involve intelligence if done by humans. AI has grown rapidly, and its technologies have lived on a daily basis, including autonomous cars, facial recognition, and intelligent voice assistance. AI is also used in healthcare in a variety of areas, such as radiology, oncology and cardiology, to benefit from its applications.
Artificial intelligence is not a recent phenomenon in the research field of assisted reproductive technology (ART). It was implemented with the development of an algorithm whose goal was to predict the outcome of the IVF. Later, ore technologies used various types of algorithms in a number of ways, including oocyte, embryo collection, and sperm cells.
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Researchers have trained an AI algorithm that can correctly distinguish high and low-quality embryos. AI algorithms increased performance objectively because the embryologists responsible for evaluating the consistency of embryos using morphological analysis are subjective tests requiring the manual grading of the human embryo.Although the algorithm cannot predict pregnancy rates, the exact details it can provide on the quality of the embryo is a significant variable that might improve the likelihood for a couple to conceive.
The potential of artificial intelligence in clinical ART would bring enormous benefits and ethical complications. If approved for clinical use, AI can distinguish high-quality embryos from those that are chromosomely abnormal. It will save healthcare professionals time and effort by processing and analyzing more data with greater depth and precision.Such technologies can increase the effectiveness of ART and pregnancy outcomes, treatment choices, and also care for patients with infertility. It may also minimize health care costs by reducing the use of excessive testing or treatment.