Small differences in IVF protocols carry big consequences for success rates
A 10% variance in physician decision-making during IVF cycles has proven significant enough to alter egg yield and pregnancy outcomes. Even among experienced reproductive endocrinologists, small differences in trigger timing or medication adjustments can cause outcome swings with measurable consequences.
“Ten percent of the time we go like, well, I would have triggered a little bit later,” said Dr. Alexander Kotlyar, Director of Resident Education at Genesis Fertility. “And that 10% can make a profound difference as far as how cycles go.”
From Data to Results: Boost Your IVF Outcomes
Discover the AI Trained on 53,000 IVF Cycles That Outperforms Physician Estimates
FertilAI helps your clinic:
Identify missed oocyte potential in stimulation cycles
Use predictive models to improve patient outcomes
Make data-driven decisions without changing your clinical workflow
Clinics are already leveraging FertilAI’s insights to optimize protocols and increase outcomes. Don’t let your most valuable data go unused.
Variance Drives Push for Standardization
To address these inconsistencies, Genesis Fertility in New York, performing more than 1,000 cycles annually, implemented FertilAI. The system, trained on thousands of patient cycles, provides recommendations that either reinforce or challenge physician judgment at key decision points. “When we first heard of FertilAI,” Kotlyar shared, “it was a way to standardize some of our approaches to decision making, especially when decisions weren't entirely clear during an IVF cycle when we could say, trigger a patient that day or trigger the next day, and that decision could impact the number of eggs that we might get by noticeable factor.” Integrated directly into the clinic’s EMR, the tool is now part of daily practice.
“Anything you can do to even get a single percentage point increase in success rates, any clinic would jump on,” Kotlyar noted.
Small Gains Add Up to More Births
For high-volume clinics, even a 1% rise in success rates can translate into dozens of additional births each year. FertilAI has provided physicians reassurance when evaluating stimulation protocols and ovulation timing, creating consistency across providers and reducing the variance that can alter outcomes.
Patient Access Improves Through Fertile Lane
The Fertilane app, connected to FertilAI, offers patients immediate access to treatment information, bypassing missed calls and voicemails. “Patients have loved it and have been clamoring for an app for years,” Kotlyar said. Nurses report “much lower patient frustration and greater satisfaction.”
IVF Progress Still Limited by Biology
Despite advances in AI, Kotlyar emphasized that success rates remain constrained by gaps in basic biology. Limited understanding of follicle recruitment and embryo implantation leaves outcomes “stuck at an asymptote.” He envisions future AI tools that could guide embryo transfer placement in real time and support training for new physicians.
As demand for fertility care grows, the pressure to reduce outcome-altering variance will only increase. FertilAI’s integration shows how AI can standardize practice and improve patient engagement, but lasting gains in success rates will depend on solving the fundamental biology of egg recruitment and implantation.
From Data to Results: Boost Your IVF Outcomes
Discover the AI Trained on 53,000 IVF Cycles That Outperforms Physician Estimates
FertilAI helps your clinic:
Identify missed oocyte potential in stimulation cycles
Use predictive models to improve patient outcomes
Make data-driven decisions without changing your clinical workflow
Clinics are already leveraging FertilAI’s insights to optimize protocols and increase outcomes. Don’t let your most valuable data go unused.