Session 15: AI Part 2 - Q&A

Questions for Dr. Dan Nayot

I think the egg donor domain will be an early adopter to any egg quality assessment tool, as we currently don't have any tools to guide us

dan@futurefertility.com

Questions for Dr. Michelle Perugini

So AI and Machine Learning models are built off of datasets. Both quality and quantity of the datasets play a role here.

So quality-wise, if there is a clear outcome and a clear coefficient (grading) for any variables, then the dataset could be considered high quality. Sometimes this can be tough, for example, if we try to create a model based off of handwritten doctors notes, some of the variables might be missing and some of the outcomes might be tough to read - low quality data.

Quantity-wise, the more the better, ultimately. If we build a model using 10 data points vs 10,000, the larger data set will give a far more accurate prediction.

Michelle Perugini: Data quality and diversity are key. This is what drives the variability seen in clinical practice to be effectively trained in the AI.

Questions for Daniella Gilboa

GENERAL DISCUSSION