Endoclassify Information

EndoClassify brings clinical precision to IVF by turning routine endometrial ultrasound into an AI-powered decision. Our platform analyzes B-mode images and quantifies endometrial receptivity, helping fertility teams pinpoint the optimal window for embryo transfer, non-invasively, consistently, and fast. How it works Clinicians capture or upload an ultrasound image; EndoClassify’s deep-learning pipeline segments key uterine features and returns a receptivity score with an interpretable “good/poor” assessment to support timing decisions and standardize evaluations across operators. Evidence EndoClassify has been evaluated in peer-reviewed research on endometrial ultrasound, reporting strong performance (e.g., ~95% accuracy; sensitivity/specificity ~93%), and external descriptions cite up to ~92% accuracy for identifying the best transfer timing. Why clinics use it - Turns subjective reads into reproducible, AI-assisted insights. - Aims to improve IVF success by better aligning transfer with the receptive window. - Simple workflow: capture → analyze → decide. Who we serve - IVF centers, clinicians, embryologists, and ultimately, patients who benefit from fewer uncertain cycles and clearer decisions. Interested in piloting EndoClassify or learning how it can fit your workflow? Get in touch via our site.