Peter Langfield and Yingjing Feng, members of the Liryc modeling team, published a great paper in relation to their research project on "A novel method to correct repolarization time estimation from unipolar electrograms distorted by standard filtering", which is now published in the Medical Image Analysis journal. Their article introduces new reliable AI tools to better identify patient-specific repolarization abnormalities in order to better characterize arrhythmogenic tissue and the risk of sudden cardiac death.

Click here to read Peter’s and Yingjing’s full article.