Everything you need to know about the product
Ovarian monitoring optimized with AI
FOLLISCAN is an AI-powered medical device software that analyzes 2D or 3D transvaginal ultrasound scans to automatically identify, measure, and count follicles in seconds. It supports fertility specialists in optimizing stimulation protocols during IVF cycles.
Yes, FOLLISCAN is CE-certified under EU Regulation 2017/745 as a Class IIa medical device, confirming its compliance with stringent safety, performance, and quality management standards.
To see FOLLISCAN in action, book a live demo by contacting us at [email protected].
Yes, FOLLISCAN supports both 2D and 3D DICOM-format cine loops as long as they contain a single continuous sweep of the ovary.
FOLLISCAN achieves an F-score of up to 93% for large follicles (≥10 mm), comparable to expert assessments, providing highly reliable, consistent results.
FOLLISCAN is fully automatic, easier to use, and more accurate (92% F-score vs. SonoAVC’s 70%). It works on any computer with internet access, unlike SonoAVC which is machine-dependent.
FOLLISCAN can be used at baseline, early, mid, and late follicular phases, as well as pre-retrieval, typically around three times per cycle.
FOLLISCAN saves about 4 minutes per scan, allowing clinics to increase exam volume.
Yes. Internal studies show physicians who followed FOLLISCAN’s AI-based trigger recommendations retrieved nearly 2 more mature oocytes per cycle, boosting IVF success potential.
Yes. As long as the ultrasound can export DICOM-format cine loops, FOLLISCAN can analyze it—no specialized hardware required.
Clinics can integrate via:
Secure VPN or IPSEC tunnels ensure protected data flow.
No installation is needed. FOLLISCAN is web-based, you only need a browser and an internet connection.
Yes. All data is encrypted (HTTPS/OpenVPN). Regular backups, security audits, and GDPR compliance ensure robust protection.
Yes, upon request. FOLLISCAN can automatically anonymize DICOM files by removing identifiers like name and date of birth, linking scans only by technical metadata.
Absolutely. Clinics in a network can choose centralized or independent accounts, with seamless data access and synchronization between locations.
Embryos analyzed with AI
EMBRYOAID is a web-based AI medical device tool developed by MIM Fertility that evaluates embryo images or videos to identify those with the highest implantation potential. It supports clinicians in making faster, more accurate embryo selection decisions during IVF cycles.
Objective embryo ranking – in a multicentre study across six IVF centres, EMBRYOAID achieved 70.1%, compared to the mean accuracy of embryologists (67.7%) and the expert committee (69.5%).
Yes. Even when few embryos are available, EMBRYOAID can help optimize outcomes by ensuring the best candidate is selected, especially given the high emotional and financial stakes in IVF.
Yes. The algorithm was trained on both time-lapse videos and static images. Research shows no statistically significant difference in scoring accuracy between the two. Scoring is based on a single best frame from the end of a video.
The score reflects implantation likelihood. For example, a score of 9.0 means the embryo is better than 90% of those in the EMBRYOAID database.
EMBRYOAID supports .jpg, .png, .avi, and other standard image/video formats with a minimum resolution of 250×250 pixels (500×500 preferred). Images must show the embryo clearly and free-floating in the field of view.
Yes. EMBRYOAID offers API-based EMR integration and works with various microscopes and time-lapse incubators. It is fully compatible with ESCO’s MIRI® and Hamilton Thorne’s LYKOS® systems.
No. EMBRYOAID is 100% web-based and accessible via any standard browser with an internet connection.
Yes. Data is protected using HTTPS encryption, with access restricted to authorized users. Backups are stored for 10 years, and only anonymized images or patient IDs are required unless the clinic chooses to enter identifiable data.
Data is stored securely in the cloud. EMBRYOAID is designed to comply with regional data storage regulations and can be adjusted for local legal requirements.
Studies confirm that EMBRYOAID can predict fetal heartbeat from post-warming images or videos of frozen embryos, with predictive accuracy reaching up to 74% when captured 3–4 hours after thawing.
Yes. The algorithm evaluates the blastocyst stage only, without relying on earlier developmental stages, ensuring consistency across clinics and formats.
The algorithm is trained on a rich dataset of 15.2 million image frames, 86,000 embryos, and 6,500 with confirmed transfer outcomes, from 70 IVF clinics worldwide.
EMBRYOAID is hardware-independent, cloud-based, and supports both images and videos. Unlike embryoscopes, which are physical incubator systems, EMBRYOAID offers flexible AI analysis that enhances existing lab setups without requiring new equipment.
This content is intended exclusively for qualified medical professionals and may include specialized information that should not be interpreted by individuals without appropriate medical training.
