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.
FOLLISCAN 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. Now the key to success is the choice of the embryologist, dictated by years of training and experience, as well as the support of appropriate tools, which are not id
The application automatically identifies high-quality embryos based on a single image. The algorithm learned to recognize the best embryos from an immense library of human embryo images.
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.
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.
The company was founded in 2015 by Professor Piotr Sankowski and PhD Piotr Wygocki as the first spin-off of the Faculty of Mathematics, Informatics, and Mechanics at the University of Warsaw.
MIM Solutions specifically provides predictive and recommendation systems, analyzing images and video. We have focused on developing MedFemTech products such as EMBRYOAID and FOLLISCAN.
We want every couple struggling to have a child to make their dream of parenthood true with AI solutions. Therefore, we combined the most advanced machine learning, imaging solutions, and data mining algorithms with clinical knowledge of reproductive medicine. Our goal is to empower doctors and patients to make well-informed decisions about fertility treatments.
Multiple FDA clearances for AI-powered products! The United States Food and Drug Administration is an agency which certifies medical products in the United
Did you know that the global fertility services market is predicted to be worth more than 36 BILLION USD in 2028? According to Bloomberg, the
On November 22nd, Piotr Wygocki gave a presentation on how to automate ultrasound examination with deep learning during Data Science Warsaw Meetup. He explained: 1.
MIM Solutions was launched as a spin-off of the University of Warsaw’s Algorithms Group, directed by prof. Piotr Sankowski. The company has brought together experts passionate about solving practical algorithmic problems efficiently.
