iDAScore - Changing the paradigm of embryo evaluation

As IVF clinics face greater workloads, the desire to automate some of the laboratory processes is increasing. With the introduction of time-lapse technology many clinics now have full sequence images of embryo development, linked together with clinical outcome. This provides an ideal platform for developing Artificial Intelligence methods which are able to automatically analyse and evaluate embryo implantation potential. To be useful in a clinical setting, the AI must be robust, perform equally well regardless of clinic, observer or patient and able to automatically analyse the full cohort of patient embryos. Although AI examines features which may not be obvious to a human observer, it would be intuitive to expect that scores align with current knowledge of embryo quality.