Evaluation of artificial intelligence using time-lapse images of IVF embryos to predict live birth.

RESEARCH QUESTION: Can artificial intelligence (AI) improve the prediction of live births based on embryo images? DESIGN: The AI system was created by using the Attention Branch Network associated with deep learning to predict the probability of live birth from 141,444 images recorded by time-lapse imaging of 470 transferred embryos, of which 91 resulted in live birth and 379 resulted in non-live birth that included implantation failure, biochemical pregnancy and clinical miscarriage. The possibility that the calculated confidence scores of each embryo and the focused areas visualized in each embryo image can help predict subsequent live birth was examined. RESULTS: The AI system for the first time successfully visualized embryo features in focused areas that had potential to distinguish between live and non-live births. No visual feature of embryos were visualized that were associated with live or non-live births, although there were many images in which high-focused areas existed around the zona pellucida. When a cut-off level for the confidence score was set at 0.341, the live birth rate was significantly greater for embryos with a score higher than the cut-off level than for those with a score lower than the cut-off level (P < 0.001). In addition, the live birth rate of embryos with good morphological quality and confidence scores higher than 0.341 was 41.1%. CONCLUSIONS: The authors have created an AI system with a confidence score that is useful for non-invasive selection of embryos that could result in live birth. Further study is necessary to improve selection accuracy.

Attitude and perceptions toward miscarriage: a survey of a general population in Japan.

Miscarriage is the greatest complication of pregnancy, and 70-80% of early miscarriages are mostly due to chromosomal abnormalities in the embryo. There is no evidence that stress is a direct cause of miscarriage. Despite these findings, in a national US survey on the causes of miscarriage, many Americans mistakenly attributed miscarriage to the mental state or behavior of the women. We conducted a survey to assess public attitudes and perceptions regarding the cause and prevalence of miscarriage in Japan. We sent out a questionnaire consisting of 17 questions. The 5000 recipients consisted of men and women (1:1 ratio) aged 18-69 who resided in Aichi Prefecture. A total of 1257 recipients (25%) responded to the questionnaire and 1219 valid respondents (24%) were included in the analyses. Of these, 62% considered a genetic abnormality of the fetus as the cause of miscarriage. Participants who were female, highly educated, married and healthy gave significantly more correct responses. On the other hand, the majority wrongly assumed that a stressful event (65%) and long-standing stress (75%) to be causes of miscarriage. Participants who had no history of miscarriage as well as males answered significantly more incorrectly. Sixty-five percent of respondents thought that miscarriage occurred less than 15% of all pregnancies. Among respondents who had experienced miscarriage personally, 53 and 36% felt guilty and lonely, respectively. Many respondents blamed the woman for the miscarriage either in terms of her behavior or mental stress and considered the frequency of miscarriage to be lower than it actually is.