Follicle counting during ultrasound examination is widely used in infertility diagnostics. Observing follicle growth dynamics helps choose the proper time and hormonal stimulation intensity.
The whole process is controlled via ultrasound observation. The medical expert determines follicle identification and diameter with his eyes only. The tricky task is distinguishing other elements that may be confused with follicles.
FOLLISCANÂ automates imaging ultrasonography expert workflow, helping to precisely identify and count follicles on ultrasonogram video.
One of the biggest challenges in the IVF procedure is the lack of objective and accurate indicators when deciding which embryo has the best chance of implanting permanently in the uterus. Success relies on the expertise of embryologists, shaped by their years of training and experience, and their use of the right tools.
EMBRYOAID application can automatically identify high-quality embryos based on a single image. The algorithm not only learned to recognize the best embryos but also adapted its understanding from an extensive library of human embryo images and time-lapse videos.
This world-first such study represents a significant step in the world of reproductive medicine.
Goal of the study is to rigorously assess the accuracy and efficacy of EMBRYOAID. Being the first one to be conducted globally with the IVF clinics from different continents, this initiative is not merely a technological advancement; it represents a substantial contribution to the field of reproductive medicine.
Our study, encompassing IVF clinics worldwide, represents a pioneering global initiative. At MIM Fertility, we are committed to continuous improvement and evaluation to consistently elevate the standard of our services.
Folliscan detects 93% of large follicles compared to highly skilled professionals.
Working with AI tools restricts the time needed to select an embryo or run an ultrasound examination, releasing professionals’ workdays and lowering clinic costs.
Selection of the most viable embryo raises the IVF’s success rates from 30 to 40 %. Precise counting of follicles helps accurate drug dosing and pick-up date set.
Folliscan limits the patient visits from six to two during the IVF cycle. The patient can go for an ultrasound checkup at the nearest gynecological office. The solution raises the clinic’s capacity and allows scaling up, reaching patients living far more.
Standardised workflow makes examinations less monotonous and inconvenient. It also restricts the time of oocyte pickup and drug dosing.
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In vitro fertilization process may last for months or even years. AI solutions help shorten the time needed for success and the emotional costs for parents. Also, healthcare professionals feel the pressure to make the right choices. AI assistance lets them feel confident.
At MIM Fertility, we are committed to breaking new ground in the fertility world. This means setting new standards for fertility care, revolutionizing the way people experience the journey through infertility and providing better access to fertility treatments worldwide. We will do this by continuing to deliver bespoke and innovative solutions crafted perfectly to different patients’ needs, and by collaborating closely with clinics to standardize, optimize and automate clinical workflows. In addition to creating AI software applications, MIM Fertility is committed to advancing research and collaboration with physicians in order to enhance patient care for women throughout their reproductive lives.
MIM Fertility, a key Artificial Intelligence Provider for the IVF field, will be participating in the 66th AAB Educational Conference and the 26th CRB Symposium
MIM Fertility, one of the key Artificial Intelligence suppliers for IVF, will be exhibiting at the prestigious European Society of Human Reproduction and Embryology, ESHRE