Signals. Two weeks ago, I participated in this year’s AI in Epilepsy Conference. The meeting brought together a field that is moving quickly, but not always at the same pace. I presented our computational approaches for real world data and natural history studies. However, in many areas of epilepsy, AI is already more advanced than what we currently use in genetics and rare disease research. Therefore, I was mainly there to learn. Here are three aspects of AI in medicine that I have thought about more since returning from the conference.
Tag Archives: Artificial intelligence
Artificial intelligence in epilepsy – the rare disease perspective
Breckenridge. This week, our team attended the first conference for Artificial Intelligence in Epilepsy in Breckenridge, Colorado. I was honored to be one of the two speakers representing the epilepsy genetics field, trying to build the bridge between the impressive amount of research in machine learning and EEG analysis with our current progress and research efforts in the genetic epilepsies. In this blog post, I would like to summarize some of my impressions from this meeting and discuss two aspects where rare disease research and machine learning already intersect, namely seizure forecasting and virtual clinical trials.