An artificial intelligence algorithm can accurately predict the optimal oocyte retrieval date during IVF antagonist protocol cycles, with increasing precision as the cycle progresses.
Please confirm that you would like to log out of Medscape. If you log out, you will be required to enter your username and password the next time you visit.Artificial intelligence can accurately predict the optimal retrieval date in fertility treatment cycles, according to preliminary research presented at the 2023 annual meeting of the American Society for Reproductive Medicine.
"We also need to accommodate and reschedule for non-working days, which causes a big issue with managing the workload in many clinics around the world," added Hourvitz, who presented the research highlighting AI's growing role in reproductive medicine.The new study used a dataset of 9550 predictable antagonist cycles gathered from one lab with over 50 physicians between August 2018 and October 2022.
"We could accurately predict when those 'peak days' were going to be happening in the clinic, and we could also give a pretty good estimate on how many cycles you're going to have every day," Hourvitz said, explaining that this information could help clinics more efficiently allocate resources and manage patients.
"We're so focused on the end of the process: the embryo," Zaninovic, who was not involved in the research, toldof eggs and sperm, not just the quantity — because that's what the embryos will depend on.""Cornell is the largest academic IVF center in the United States; 20% to 30% of all of the patients that we treat are actually freezing their eggs," he said."It's a huge population.
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