P-696: Revolutionizing follicle measurement: Artificial intelligence (AI)-powered automated follicle tracking vs. traditional follicle tracking

Human Reproduction (2025)

Share this post

P-696: Revolutionizing follicle measurement: Artificial intelligence (AI)-powered automated follicle tracking vs. traditional follicle tracking

R Al Odetalah, H Al-Lamee, K Shah, J Barcroft, T Hunjan, R Roberts, M Zaharia, E Barsoum, R Rai, M Mittal, S Saravelos

This study compared the AI follicle tracking tool Folliscan with manual measurements for assessing ovarian follicles. Folliscan showed high accuracy and strong correlation with manual methods, confirming its reliability. It significantly reduced scan time, improving workflow and patient satisfaction. The AI tool performed equally well in supporting clinical decisions about treatment timing. Although the study was based on a small group, the findings suggest AI tracking can streamline monitoring and enhance patient experience.

Share this post

Are you a medical professional?

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.