ERC Starting Grant · 2025
Generative Pre-Training on MEDical event streams in Intensive Care
Background: Artificial intelligence (AI) holds great promise for improving patient care, but challenges related to data irregularity and complexity have hindered its translation into clinical practice. Modelling rich longitudinal electronic health records (EHRs) such as those found in intensive care units (ICUs) remains especially difficult, as they represent a complex interplay between the patient’s health and clinical decisions made in response. Objectives: We aim to develop a robust AI framework for flexible prediction of any outcome in the ICU and beyond. We will pioneer a class of generative pre-trained models optimised for complex EHR data (Objective 1). Our approach will be…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.