Presentation of results at the 3rd Taulí Health Artificial Intelligence Symposium

Kriba’s Data Science team returns to the 3rd edition of the TAULÍ HEALTH ARTIFICIAL INTELLIGENCE SYMPOSIUM, on 11-12 June, and will share results and advances with the scientific community.

This year, our Data Scientist, Sara Guillén Fernández-Micheltorena, will present results and advances in an oral communication entitled ‘Deep learning and explainable artificial intelligence for automatic and non-invasive detection of peritonitis in peritoneal dialysis patients using high-resolution ultrasound’. This presentation will address how explainable AI (XAI) can increase the interpretability of deep learning models and improve automatic infection detection.

The featured session will take place on Wednesday 13 June from 13:30 to 14:00, where the benefits and challenges of applying XAI in the healthcare field will be explored in depth.

Explainable artificial intelligence (XAI) is an emerging branch of AI that focuses on making machine learning models more transparent and understandable. In the context of detecting peritonitis in peritoneal dialysis patients, XAI allows healthcare professionals to better understand how and why a deep learning model makes certain decisions. This not only increases confidence in automated systems, but also provides valuable insights that can improve diagnostic accuracy and efficiency.

In addition, Beatrice Jobst, who leads Kriba’s Data Science team, will also participate in the symposium, and Paula Petrone, scientific advisor at Kriba and Associate Research Professor and Biomedical Data Scientist at the Barcelona Institute for Global Health (ISGlobal), will also be part of the event as a panelist and moderator.

We are excited to share our progress and learn from other experts at the symposium.