Japan-developed AI can aid in fertility treatment
A group led by a University of Tokyo professor created the model by having artificial intelligence study data on over 440 patients. The system takes into account five factors, such as the number of births, as well as age and blood-test results.
The model can then estimate the amount of eggs a patient has. The researchers say its predictions are more accurate than using blood tests alone.
Professor Harada Miyuki at the Graduate School of Medicine, University of Tokyo, said, "Women can use the model to learn more about the condition of their eggs before going through fertility treatment."
The scientists say they have also developed a model that can predict a decline in the quality of a patient's eggs.
The group aims to create an app within a few years that can be used by both medical professionals and individuals.
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