{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T22:13:10Z","timestamp":1789423990562,"version":"build-2803163510"},"reference-count":77,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2021,9,15]],"date-time":"2021-09-15T00:00:00Z","timestamp":1631664000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Ultrasound Medicine"],"published-print":{"date-parts":[[2022,6]]},"abstract":"<jats:p>\n                    The incidence of infertility is continuously increasing nearly all over the world in recent years, and novel methods for accurate assessment are of great need. Artificial Intelligence (AI) has gradually become an effective supplementary method for the assessment of female reproductive function. It has been used in clinical follicular monitoring, optimum timing for transplantation, and prediction of pregnancy outcome. Some literatures summarize the use of AI in this field, but few of them focus on the assessment of female reproductive function by AI\u2010aided ultrasound. In this review, we mainly discussed the applicability, feasibility, and value of clinical application of AI in ultrasound to monitor follicles, assess endometrial receptivity, and predict the pregnancy outcome of\n                    <jats:italic>in vitro<\/jats:italic>\n                    fertilization and embryo transfer (IVF\u2010ET). The limitations, challenges, and future trends of ultrasound combined with AI in providing efficient and individualized evaluation of female reproductive function had also been mentioned.\n                  <\/jats:p>","DOI":"10.1002\/jum.15827","type":"journal-article","created":{"date-parts":[[2021,9,15]],"date-time":"2021-09-15T10:41:21Z","timestamp":1631702481000},"page":"1343-1353","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Artificial Intelligence in the Assessment of Female Reproductive Function Using Ultrasound: A Review"],"prefix":"10.1002","volume":"41","author":[{"given":"Zhiyi","family":"Chen","sequence":"first","affiliation":[{"name":"The First Affiliated Hospital, Medical Imaging Center, Hengyang Medical School University of South China  Hengyang China"},{"name":"Institute of Medical Imaging University of South China  Hengyang 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